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Data Engineer

Senior Data Engineer

MWDN

Chisinaufulltimesenior

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Описание вакансии

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

  • Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
  • Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
  • Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
  • Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

  • 5+ years of professional data engineering experience
  • 2+ years working with programmatic advertising and ad-tech data (GAM)
  • Strong proficiency in Python and SQL
  • Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
  • Experience with batch processing frameworks (Spark, dbt, Airflow)
  • Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
  • Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
  • Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

  • SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
  • Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

  • Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
  • Auction analytics: bid landscape, floor optimization, timeout analysis
  • Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
  • Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

  • Languages: Python, SQL, Scala (nice to have)
  • Processing: Apache Spark, dbt, Apache Flink
  • Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
  • Orchestration: Airflow, Dagster, Prefect
  • Storage: S3, GCS, Delta Lake, Parquet
  • Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

  • Experience with ML feature engineering for bid optimization or yield prediction
  • Background in building data products for publisher-side monetization
  • Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
  • Experience with CTV/OTT advertising data and video ad metrics
  • Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

  • Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
  • Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
  • Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
  • Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
  • Build and maintain data warehouses and lakes optimized for ad-tech query patterns
  • Implement data quality monitoring, validation, and anomaly detection for data streams
  • Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
  • Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

  • People-first management with minimal bureaucracy
  • A friendly company culture, proven by employees who choose to return
  • Flexible working hours
  • 29 days of PTO (18 working days per year pluse all national holidays)
  • 10 paid recovery days
  • Full financial and legal support for independent contractors
  • Free English classes, with native speakers or Ukrainian teachers
  • Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

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Data Engineer

Data Scientist Intern

Grid Dynamics

Chisinaufulltimejunior

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Описание вакансии

Are you looking for a great opportunity to expand your skills and knowledge? Want to join a multinational company with interesting projects and learn from our professionals? If you are ready to start your career in IT, just show us your potential, and we will give you the experience!

Responsibilities

  • Learning under the supervision of an experienced programmer
  • Spend 30-40 hours per week for 6 months on developing yourself in your chosen field
  • Working closely with your mentor on daily tasks

Requirements

  • Good knowledge of Computer Science fundamentals: Statistics, Algorithms and Data Structures;
  • Basic engineering skills in Python;
  • Experience with VCS (preferably Git);
  • Basic understanding of Data Science concepts (supervised vs unsupervised, regression vs classification, overfitting vs underfitting etc);
  • Basic knowledge of relational databases (e.g. MySQL);
  • English: Upper-intermediate or higher (spoken and written);
  • Education: Technical education (BS or MS in a technical field or currently pursuing the degree).

Nice to have

  • Experience with cloud services: GCP/ Azure/ AWS. Especially valuable if ML-services were used;
  • Proved experience in Python engineering;
  • Experience in Data Science (pet or academic projects, hackathons etc.);
  • Experience of using Data Science tools and frameworks: Jupyther, scikit-learn, pandas, seaborn, pytorch etc;
  • Domain knowledge outside of the Computer Science field.

We offer

  • The duration of the internship is 6 months
  • 6 to 8 working hours a day
  • Compensation for the period of study
  • Mentoring from professional specialists, development plan, monitoring of learning progress, technical assessment upon completion of training
  • The best students will have the opportunity for further employment in the company
  • Opportunity to participate in all activities of the company
  • We provide all the necessary equipment
  • Access to training platforms

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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Data Engineer

Data Quality Engineer, Automated Testing & Monitoring

wherewework Jobs

Chisinaufulltime

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Описание вакансии

wherewework.md on behalf of:

Technology & Software Employers in Moldova
Interested in Data Quality Engineer, Automated Testing & Monitoring jobs in Moldova? You're in the right place.

This software engineering role is actively recruited across Moldova's technology sector in 2026. Chișinău, Moldova's capital, is the undisputed heart of the country's booming IT sector, home to the Moldova IT Park and the delivery centres of Endava, Pentalog (Globant), EPAM, and hundreds of software companies serving Western European and North American clients. The IT Park tax regime and a strong pipeline of technical graduates make Moldova an increasingly attractive base for software development.

To move forward, simply upload your CV to wherewework, and we'll help connect you with real Data Quality Engineer, Automated Testing & Monitoring openings from real companies, including the position you're viewing right now.

Here's how it works:

  • Upload your CV once. Click "Apply" in this window. It only takes a moment, and allows us to match your profile with relevant opportunities.
  • We match you with real roles that fit your experience. When companies open positions aligned with your skills, we'll identify the best opportunities for you.
  • You stay fully in control. Before your CV is ever shared, we'll notify you with the exact job title and company name, and ask for your confirmation.
  • Only confirmed applications are sent to employers. Once you approve, the employer receives your application and may contact you directly.

For Data Quality Engineer, Automated Testing & Monitoring roles in Moldova, based in Chișinău, salaries typically range from 28,000 MDL to 55,000 MDL gross per month, with an average gross salary of around 40,000 MDL. Expertise in Automated Testing & Monitoring, along with English proficiency and experience working with international clients, are the strongest salary drivers.

While you're here, explore wherewework to discover what it's really like to work at Moldova's top technology and software companies, through interview experiences, employee reviews, and community feedback.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Move to New Zealand - Senior Software Engineer

Propellerhead

Chisinaufulltimesenior

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Описание вакансии

Work alongside our innovative team based in Auckland, New Zealand! We are seeking talented individuals excited about the opportunity to learn, expand their skillset and support our company.

We welcome applications from individuals located internationally looking to relocate to Auckland, New Zealand. This role is based in
Auckland
and requires in-office attendance (hybrid).

Propellerhead hires exceptional talent from all around the globe and many of our people have relocated to New Zealand to join our team. We've created this website packed full of information about moving to New Zealand to work for Propellerhead, if you're interested in making the move to our wonderful country.

Prior to applying, please be aware that the final stage of our recruitment process is an in-person interview in New Zealand (click apply and see our application questions for more details).

The Role:
Propellerhead is looking for an experienced Senior Software Engineer to join our core engineering team (reporting to the CTO) to research and define future technical strategies for Propellerhead and our clients. The engineering team provides the core tools, techniques, and software libraries to support service development teams.

You will guide proofs of concept to production, mentoring team members on new technologies and practices. You’ll also help our teams and customers navigate the development of effective, secure enterprise software and deployment architectures in the age of AI.

Your team will consist of like-minded software craftspeople and will operate with a degree of autonomy seldom experienced in other organisations.

Propellerhead operates a hybrid working model (work from our office and from your own home). While you must be based in
Auckland
for this role, we warmly welcome applications from across New Zealand and internationally who are planning to relocate to Auckland. This particular role requires regular in-person office attendance.

If you are ready to work on real problems with real impact, and help lay the groundwork for what comes next - we would like to hear from you.

Role Responsibilities:

  • Define technical solutions through research and team investigation, in line with the vision directed by the CTO.
  • Actively participate in the design and construction of software across the full stack - including code structure, deployment architecture, DevOps, automated testing, and integration of third-party systems. This will primarily involve the use of LLMs, with the expectation you will do virtually no hand-coding.
  • Collaborate with client stakeholders and fellow Propellerhead team members to ensure a shared understanding of solution design and roadmap delivery in line with agreed budgets.
  • Drive the migration of existing polyglot solutions to standardized Rust and TypeScript, towards more standardized and portable deployment architectures, and pass on technical learning to the broader organisation to embed the technical strategies throughout.

Skills and Experience Required:

  • 7+ years experience as a Software Developer or Engineer, including experience working with enterprise-level complexity.
  • High proficiency in at least one enterprise-quality programming language and its ecosystem. For example, C# .NET or Java and Spring.
  • Must have some experience with a lower-level language for application or systems development such as Rust (preferable) or C++.
  • Experience in TypeScript and React or similar front-end frameworks, and a well-developed understanding of web application development.
  • Hands-on experience deploying to Azure and/or AWS, including building CI/CD pipelines and using infrastructure scripting frameworks (e.g., Terraform).
  • Demonstrable experience in software design for distributed and asynchronous architecture. In particular, you will need to show examples of projects using microservices and messaging where you have been a key contributor to the design and construction.
  • You will already have embraced the use of LLMs over hand-coding and be able to articulate how this has improved the speed to deliver and safety of the systems you build.
  • With the help of LLMs you can produce clear and concise design documents.
  • You have excellent written and verbal communication skills to translate between requirements and technical tasks.

About Propellerhead:
Propellerhead is a leading software services company that designs, delivers, and maintains large-scale, custom-built digital platforms across a range of technologies. We place emphasis on producing technology which is meaningful, has value, and can make a difference in the world. We foster long lasting and trusting relationships with all our clients. Over our 20+ years in the market we have worked with a diverse range of commercial, non-profit, and government organisations.

How We Build Software:
We build software by structuring solutions in a product-centric manner and focusing on continuously delivering measurable outcomes into production. Our work starts from real stakeholder needs and the value they unlock, with an AI-assisted pipeline now generating much of the code.As a result, our digital platforms are a mixture of custom components and external services which produce a powerful and engaging experience when combined.

Benefits:

  • Be part of an innovative team, with a culture of learning and collaboration.
  • Contribute to interesting, diverse, and commercially minded work for well-respected clients.
  • Opportunity for professional growth and development.
  • Fortnightly knowledge sharing sessions, with lunch.
  • Competitive salary. Employee Share Purchase Scheme offering.
  • This role is Auckland based, regular in-office attendance is required. Work within our beautifully designed office and from home (hybrid working model).
  • Propellerhead is an equal opportunity workplace which is free from discrimination.

Cover Letter:

  • Please note - only applications with a cover letter will be reviewed.*

It's very important to us that you include a cover letter with your application - it's your chance to tell us more about who you are and what you value.

At Propellerhead, we use AI thoughtfully as part of our delivery practices - considered integration helps us stay at the forefront of technology and create innovative, valuable solutions for our clients.
In recruitment, however, AI isn’t used to assess skills, experience or suitability for a role. Every application is reviewed by a real person to ensure a fair, engaged and thoughtfully human process.
Therefore we kindly ask that you refrain from using it in your application. We're excited to learn about your unique experiences and ideas, so please apply as your authentic self!
More:
Candidates that progress may be asked to agree to a police background check, credit history check, other assessments and provide evidence of qualifications.

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Data Engineer

Data Architecture Analyst, Short-Term

UNDP Careers

Chisinauparttime

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Описание вакансии

Job Description
Background
The project Promoting rural agriculture development and quality employment for the most vulnerable is financed by the European Union and implemented by UNDP to support Moldova’s transition from crisis response toward long-term resilience, inclusive growth, and EU-aligned reforms. Building on EU–Moldova priorities in employment, labour market modernization, and agricultural governance, the project promotes an integrated approach that links employment services, social protection, and agricultural support through digitally enabled service delivery. By strengthening institutional capacities and modernizing core digital public services - particularly those serving vulnerable rural populations - the project aims to improve access, transparency, and effectiveness of public support measures, while contributing to Moldova’s broader reform agenda on modernization, social inclusion, and sustainable rural development.

In 2025, the Republic of Moldova continues to navigate a challenging socioeconomic and geopolitical context. The country is transitioning from crisis response to longer-term resilience building, while its reform agenda – centered on economic modernization, energy transition, and governance strengthening – is being tested amid rising regional risks, growing public expectations, and constrained fiscal space.

Agriculture remains a central sector of the Moldovan economy, employing over one-fifth of the workforce and contributing around 12% of GDP. Including food processing, the agri-food sector accounts for 16% of GDP and 45% of total exports. Moldova’s fertile land supports diverse production and underpins the rural economy. However, the sector is characterized by a dual structure: large, competitive enterprises coexist with numerous small, low-productivity farms. Informality is widespread, with more than half of salaried agricultural workers employed without formal contracts.

Digital modernization of public services in both employment and agriculture is progressing but remains uneven. Key institutions continue to operate with fragmented data systems, weak interoperability, and limited analytical capacity. These gaps hinder policy implementation, reduce the effectiveness of subsidies and services, and limit the state’s ability to engage the most vulnerable rural populations.

In this context, the Project seeks to contribute to labour market inclusion and agricultural modernization through digitally enabled service delivery. UNDP’s engagement is focused on integrated and inclusive approaches – linking social protection, employment, and agricultural services through modern digital infrastructure and case management. Building on past experience in digital governance and service modernization, the initiative is well positioned to deliver scalable results that can be institutionalized and sustained beyond the project’s duration. It will contribute to Moldova’s broader objectives of fostering decent work, rural development, and sustainable EU-aligned transformation.

The project aims to strengthen Moldova’s institutional and digital governance systems in order to expand access to employment and modernize agricultural service delivery for vulnerable rural populations. Its focus is on enabling hard-to-employ individuals and farmers to benefit from more efficient, inclusive, and transparent public services.

On the employment side, the initiative seeks to make social protection and labour market services more accessible and better integrated, supported by digitally re-engineered institutional frameworks.

In agriculture, the project will help farmers across the country, including smallholders and underrepresented groups, access modernized services that are transparent, equitable, and aligned with Moldova’s reform agenda and EU commitments.

The project directly supports Moldova’s EU accession process by advancing the implementation of the Reform Agenda, in particular subdomain 1.7 on agriculture and subdomain 4.3 on employment and labour markets. Within the agricultural sector, the initiative contributes to the operationalization of the digital National Farmers Registry (dNFR) and the Land Parcel Identification System (LPIS), both of which are prerequisites for Moldova’s compliance with the EU Common Agricultural Policy (CAP) requirements under Chapter 11. The project also aims to strengthen transparency and accountability in agricultural governance through the introduction of conditionality and compliance mechanisms.

Institutional support will be provided to the Ministry of Agriculture and Food Industry (MAFI) and the Agency for Intervention and Payments in Agriculture (AIPA) to reinforce their capacity to manage digital tools, improve administrative frameworks, and ensure transparent subsidy management. These reforms will be complemented by inclusive outreach measures to ensure equitable access to digital agricultural services for smallholders, women, and rural youth, fostering resilience and participation across rural communities.

UNDP is committed to achieving workforce diversity in terms of gender, nationality, and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence.

UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.

UNDP is the leading United Nations organization working to end poverty, inequality, and climate change. With a presence in 170 countries, UNDP partners with governments, civil society, and the private sector to help build integrated, lasting solutions for people and planet.

Duties And Responsibilities
UNDP Moldova seeks to contract an Data Architecture Analyst (hereinafter “the Analyst”) to define, govern, and document the enterprise and data architecture of the IACS platform, supporting the Digital National Farmers Registry (dNFR) and connected components. The assignment will focus on establishing canonical data model, integration strategy, and architectural standards that will guide all IACS subsystem development, as well as mapping and interconnecting the full set of sectoral registries under MAIA, ensuring unified data structures, eliminating redundancies, and enabling full interoperability across the IACS ecosystem.

The Analyst will work under the framework of the EMAG Project as part of an interdisciplinary team supporting agricultural modernization and digital governance. The Analyst will coordinate with the designated technical teams of the Ministry of Agriculture and Food Industry (MAFI), the Agency for Intervention and Payments in Agriculture (AIPA), and the Moldova Electronic Governance Agency to validate architectural decisions, align deliverables with institutional needs, and ensure coherence across all IACS components, while retaining strategic responsibility for enterprise and data architecture governance throughout the engagement.

The Analyst will carry out the full architecture definition cycle, including enterprise architecture assessment, canonical data model design, integration strategy elaboration, technical debt analysis, modernization roadmap, and architecture governance. The assignment will also include producing and maintaining comprehensive architectural documentation (e.g., Enterprise Architecture Document, Architecture Decision Records, Application Programming Interface (API )specifications, data governance framework, integration matrix) and supporting knowledge transfer to MAFI/AIPA technical counterparts to ensure long-term sustainability of architectural decisions.

More Specifically, The Analyst Will Be Responsible For
Define and govern the IACS enterprise and data architecture

  • Enterprise Architecture & Canonical Data Model (IACS). Elaborate the Enterprise Architecture Document (EAD) for the IACS platform using standard frameworks (TOGAF, ArchiMate, or equivalent), covering business, application, data, and infrastructure layers. Define the Capability Map (Land Parcel Identification System -LPIS, Farm Registry, Payment Applications, Controls, Payments), map dependencies and data flows across all IACS components and external systems, and establish architectural principles (modularity, loose coupling, API-first design, event-driven integration, data ownership). Design the Canonical Data Model (CDM) for the full IACS ecosystem, covering core entities (Agricultural Parcel, Farm/Holding, Farmer, Payment Application, Control, Payment, Crop, Animal), attributes, relationships, cardinalities, and integrity rules, alongside the data governance framework (ownership, stewardship, data quality KPIs, metadata catalogue, lineage, and retention policies).
  • Integration Strategy & Data Quality Governance. Elaborate the integration strategy between IACS components (LPIS - Farm Registry - Payment Applications - Controls - Payments), defining integration patterns (synchronous/asynchronous, event-driven, batch), protocols, and data contracts. Design data synchronization mechanisms including Change Data Capture (CDC), event sourcing, and conflict resolution across distributed components. Define data quality standards—validation rules, deduplication procedures, cleansing mechanisms, and data quality KPIs-applicable across the full IACS ecosystem and connected sectoral registries.
  • Registers API Architecture & Interoperability with National Digital Infrastructure. Design the API architecture for IACS: gateway, versioning, authentication/authorization, rate limiting, documentation, and evolution strategy. Define integration specifications with external systems-cadaster, orthophotos, fiscal registries, population register, existing AIPA systems-and with national digital infrastructure (MPass, MConnect, MNotify, MSign, MLog, MPay), in compliance with interoperability standards set by STISC and the E-Governance Agency. Produce the integration matrix covering all data flows between IACS components and external systems, including frequency, volume, mechanism, and associated SLAs.
  • Compliance Security Architecture, Technology Stack & Modernization Roadmap. Design the IACS security architecture: authentication, role-based authorization, data encryption in transit and at rest, audit logging, and compliance with national data protection and cybersecurity requirements. Sectoral Registry Interconnection (MAIA) Inventory and analyse all sectoral registries under the MAIA domain (Viticultural Registry, Animal Registry, Farmer Registry, Apicultural Registry, Multiannual Plantations Registry, and other relevant sectoral databases), mapping their existing data models, technologies, data volumes, update frequency, and data ownership. Identify overlaps, redundancies, and inconsistencies across registries (e.g., the Farmer/Holding entity present in multiple registries with divergent attributes) and propose a unified canonical model serving as the single source of truth for shared entities. Design the interconnection architecture between sectoral registries and the IACS ecosystem, including integration interfaces, bidirectional data flows, reconciliation mechanisms, business correlation rules, and a progressive integration roadmap with defined success criteria per stage.
  • Architecture Governance & Knowledge Transfer. Establish and maintain the ADR register documenting all significant architectural decisions taken during the project. Produce coding standards, naming conventions, and design pattern guidelines for IACS development teams. Participate in architectural reviews of solutions proposed by development teams, ensuring conformity with the reference architecture. Provide mentoring and structured knowledge transfer to MAIA and AIPA technical counterparts, ensuring long-term sustainability of architectural governance beyond the engagement
  • Quality Assurance of Contractor Deliverables. Review and validate architecture and technical deliverables produced by external contractors to ensure alignment with the IACS enterprise architecture reference, canonical data model, API specifications, security architecture, and interoperability standards defined for the IACS platform and its connected sectoral registries.

Architecture oversight and stakeholder alignment

  • Review and validate technical specifications proposed by development teams to ensure feasibility, consistency, and alignment with the IACS enterprise architecture reference, canonical data model, and integration standards.
  • Analyse architectural risks across IACS components (e.g. scalability bottlenecks, integration anti-patterns, data model inconsistencies, single points of failure) and propose evidence-based mitigation measures including performance targets, load testing benchmarks, and caching strategies for GIS/spatial query workloads.
  • Support institutional change management by contributing to the preparation and review of architectural documentation, data governance policies, and technical standards that guide IACS development teams throughout the project lifecycle.
  • Facilitate cross-team technical communication between development teams across different IACS components, ensuring alignment with common architectural standards, shared data models, and interoperability requirements, and serving as the primary architectural escalation point for design decisions during the project.

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.

Institutional Arrangements
The Data Architecture Analyst will work under the supervision of the Project Manager, in close cooperation with the UNDP Moldova Policy Specialist and Digital Development Specialist and overall project team, for an effective achievement of results, anticipating and contributing to resolving project-related issues and information delivery.

He/she will also collaborate with other UN projects, the Ministry of Agriculture and Food Industry, Moldova Electronic Governance Agency, and other national stakeholders. The incumbent is expected to exercise full compliance with UNDP administrative rules, regulations, policies and strategies.

Competencies
Core Competencies
Achieve results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline.

Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements.

Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback.

Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible.

Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident.

Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships

Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination

Cross-Functional and Technical Competencies
Business Management - Relationship Management

  • Ability to engage with a wide range of public and private partners, build, sustain and/or strengthen working relations, trust and mutual understanding.

Business Development - Human-Centered Design

  • Ability to develop solutions to problems by involving the human perspective in all steps of the problem-solving process. Knowledge and understanding of human centred design principles and practices.

Business Development - Knowledge Facilitation

  • Ability to animate individuals and groups, internally and externally, and to design and facilitate activities, to share and exchange knowledge, information and ideas. Knowledge of tools and approaches to stimulate active participation, contribution, and exchange.

Data - Data Analysis

  • Ability to extract, analyse and visualize data to form meaningful insights and aid effective business decision-making.

Digital - Digital Transformation Design

  • Practical and strategic skills in digital transformation for governments and organizations.

Digital - Data Governance

  • Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies.

2030 Agenda: People - Gender

  • Data and Research on Gender Equality.

Required Skills And Experience
Minimum Education requirements:

  • Advanced university degree (Master’s degree or equivalent) in Computer Science, Information Systems, Data Engineering, Enterprise Architecture, Software Engineering, or related field(s) with additional two (2) years of qualifying experience. or
  • A first-level university degree (Bachelor’s degree) in the areas mentioned above in combination with an additional four (4) years of qualifying experience will be given due consideration in lieu of the advanced university degree.

Minimum Years Of Relevant Work Experience

  • Minimum 2 years (with Master’s degree) or 4 years (with Bachelor’s degree) of progressively responsible relevant experience in data architecture, data modelling, database design, systems analysis, information systems integrations, data governance, and management of data structures within complex information systems.

Required Skills

  • Demonstrated experience from at least one (1) completed assignment involving the analysis and documentation of data structures for a complex information system, including the development or substantive revision of conceptual or logical data models, data dictionaries, data-flow mappings, or data-integration specifications.

Desired Skills

  • Experience with canonical or shared data models, data governance, metadata, data lineage, data ownership, data-quality frameworks, data migration or reconciliation of data across multiple databases or registries.
  • Experience with public-sector registers, government information systems or systems involving multiple institutional data sources and stakeholders
  • Familiarity with relational or spatial database technologies, API data structures, data contracts and national interoperability platforms or standards.
  • Experience conducting architectural assessments (technical debt identification). Familiarity with agricultural information systems, farmer registries, IACS, LPIS, GSAA, payment-management systems or EU Common Agricultural Policy requirements will be considered an advantage.
  • Familiarity with recognized data-management or architecture methodologies, such as DAMA-DMBOK, TOGAF or ArchiMate, and previous experience working with public institutions or development-partner projects will be considered an advantage.

Required Languages

  • Fluency in Romanian and English is required.
  • Knowledge of one or more minority languages relevant for Moldova, including Russian, Romani, Gagauzian, Bulgarian, Ukrainian and sign language, is an asset.

Professional Certificates

  • Additional training and/or certification in enterprise architecture frameworks (TOGAF, ArchiMate) or data management (CDMP, DAMA), cloud architecture (Azure/AWS Solutions Architect), API management, or information security (e.g., ISO 27001 foundations) would be an advantage.

Equal opportunity
As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority
UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.

Right to select multiple candidates
UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Use of AI by candidates
Applicants are invited to read UNDP’s guidance for candidates on using AI responsibly in UNDP recruitment and selection

Scam alert
UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam\-alert.

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Senior Data EngineerMWDN · Moldova

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