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Data Engineer

Senior Data Engineer (Databricks Migration)

Sigma Software

Kyivsenior

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Описание вакансии

Company Description
Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.

We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.

We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.

CUSTOMER
Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.

PROJECT
The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.

As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

  • Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
  • Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
  • Analyze existing ETL / ELT workloads and define migration approaches
  • Develop and optimize data pipelines processing large volumes of retail and analytical data
  • Implement incremental processing strategies and scalable transformation frameworks
  • Build and maintain Spark-based data processing solutions using PySpark
  • Design and maintain medallion architecture layers including Bronze, Silver, and Gold
  • Implement data governance and security best practices using Unity Catalog
  • Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
  • Participate in architecture discussions and technical solution design
  • Develop reusable data platform components and engineering standards
  • Conduct code reviews and contribute to platform reliability and maintainability
  • Troubleshoot and optimize complex SQL and Spark workloads
  • Support production deployments and platform modernization activities

Qualifications

  • 5+ years of professional experience as a Data Engineer
  • Strong programming skills in Python and advanced SQL
  • Hands-on commercial experience with Databricks
  • Strong knowledge of Apache Spark, primarily PySpark
  • Experience designing and building modern cloud-based data platforms
  • Experience developing ETL / ELT pipelines and large-scale data processing solutions
  • Hands-on experience with Delta Lake
  • Experience with Spark Declarative Pipelines
  • Experience with cluster monitoring, metrics analysis, and performance optimization
  • Strong understanding of distributed data processing architectures
  • Solid understanding of data warehousing concepts and dimensional modeling
  • Experience with Airflow or similar orchestration tools
  • Experience optimizing complex analytical SQL workloads
  • Experience implementing CI / CD practices for data engineering platforms
  • Strong troubleshooting and performance optimization skills
  • Ability to work collaboratively in cross-functional international teams
  • Upper-Intermediate or higher English level

WILL BE A PLUS

  • Experience working with GCP cloud services
  • Experience with AWS or Azure cloud platforms
  • Experience in retail analytics or pricing optimization domains
  • Experience supporting machine learning or AI-related data workloads
  • Experience with platform modernization and cloud migration initiatives

Additional Information

PERSONAL PROFILE

  • Strong analytical and problem-solving mindset
  • Proactive and ownership-driven approach
  • Ability to work independently and collaboratively
  • Good communication and stakeholder collaboration skills
  • Passion for scalable data engineering and modern data platforms
  • Interest in continuous learning and technology innovation

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Data Engineer

Senior Data Engineer (Python)

Grid Dynamics

Kyivfulltimesenior

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Описание вакансии

We are looking for a Data Engineer to join the Platform Engineering team. The team is responsible for supporting, operating, and evolving the data platform used by engineering and data science teams.

Responsibilities

  • Partner with engineers across the team to support and improve data platform operations.
  • Work closely with Data Scientists to provide technical support and ensure smooth day-to-day platform usage.
  • Establish and improve processes related to platform stability, reliability, and maintainability.
  • Support Spark infrastructure and ensure efficient execution of large-scale data processing jobs.
  • Contribute to observability, monitoring, alerting, and on-call processes.
  • Help maintain data platform components across Kubernetes, Airflow, Trino/Presto, and related infrastructure.

Requirements

  • Strong experience with CI/CD pipelines.
  • Strong experience with Python.
  • Experience with Spark infrastructure and large-scale data processing.
  • Background in distributed systems.
  • Experience with Kubernetes resource management.
  • Understanding of authentication, data governance, and platform security concepts.
  • Familiarity with file compaction and maintenance on HDFS and/or object stores.
  • Solid understanding of data engineering fundamentals, including partitioning, schema design, type safety, and table formats such as Iceberg and Hive.
  • Experience with observability and monitoring tools such as Prometheus, Grafana, OpenTelemetry, and alerting systems.
  • Strong collaboration skills and ability to work effectively in a cross-functional team.
  • Availability to join evening calls (till 21:00)

Nice to have

  • Scala experience.
  • Previous on-call experience in a data platform or infrastructure environment.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

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.

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

Senior II - Back-End Engineer

Preply

Kyivfulltimesenior

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Описание вакансии

We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!
Join Preply’s Teams and help us power people’s progress through life-changing learning experiences. We’re on a mission to combine the magic of the best tutors with cutting-edge AI to create personalized journeys that keep learners motivated and inspired.

The
Preply Engineering Team
provides the tools to help unlock human potential through learning. We implement A/B tests to prove the value of our initiatives and improve our product based on data and students' and tutors' feedback. As part of our commitment to ensuring high-quality products, we prioritize monitoring and metrics analysis to identify areas for optimization and ensure our services are performing at their best.

As a Senior II Backend Engineer,
you'll drive technical direction across multiple squads, lead high-impact initiatives, and build the systems that power Preply's global growth engine. Your work will influence how we scale our platform, align teams around shared outcomes, and help millions of learners connect with tutors worldwide.

Python is our primary language, but prior experience with it isn't mandatory. We take a tech-agnostic approach and welcome engineers from various backgrounds, such as Java, Node.js, Ruby, Scala, .NET, PHP, or Go. What we truly look for is an eagerness to learn the language and the adaptability to hit the ground running with product development.
What You’ll Be Doing

  • Own, shape, and drive technical direction across multiple engineering squads.
  • Lead complex, ambiguous initiatives from idea to delivery, aligning engineers, teams, product managers, and stakeholders around shared outcomes.
  • Design, build, and evolve scalable backend systems using Python/Django, data pipelines, and third-party integrations that support long-term business growth.
  • Partner with PMs, EMs, and senior stakeholders to shape roadmaps, make technical trade-offs, and guide investment decisions.
  • Raise the engineering bar through mentoring, architectural reviews, and engineering best practices.
  • Drive reliability, observability, performance, and operational excellence across multiple services and teams.
  • Foster a quality-first culture through automation, documentation, and continuous improvement.
  • Participate in on-call rotation (1 week every 5 weeks).

What You Need To Succeed

  • Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms);
  • Proven experience leading complex, greenfield projects end-to-end
  • A track record of shaping architectural decisions and setting engineering standards that impact multiple teams or domains.
  • Comfort with shaping product scope, challenging requirements, and focusing on customer value.
  • Strong communication (English level B2+) with the ability to influence senior peers and leadership through clear reasoning and strong technical judgment.
  • Willingness to join your team's on-call rotation (1 week out of every 5).

Why you’ll love it at Preply

  • An open, collaborative, dynamic, and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
  • A competitive financial package with equity, leave allowance, and health insurance;
  • Access to free mental health support platforms;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion
Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

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

Information Management Officer (re-advertisement)

Danish Refugee Council / Dansk Flygtningehjælp

Kyiv

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Описание вакансии

Danish Refugee Council (DRC)
is a leading protection agency with a mandate to protect, advocate and promote durable solutions for displacement affected populations.

DRC has been operating in Ukraine since 2014, currently DRC employs over 800 staff in Ukraine and implements emergency response in the Protection, Livelihoods, Shelter/NFIs and Humanitarian Disarmament and Peacebuilding (humanitarian mine action) sectors, using direct interventions, support to duty bearers and civil society organizations (CSOs), and partnerships with CSOs. DRC will continue and adapt its durable solutions portfolio to the evolving context.

DRC is currently looking for a
Information Management Officer
in
Kyiv
.

About The Job
The Information Management team is focused on developing information management systems based on the ESRI ArcGIS Online platform, with a planned migration to ArcGIS Enterprise. The team works with various applications within the ArcGIS ecosystem, including Survey123, Field Maps, Dashboards, and Experience Builder. The successful candidate will join the Information Management team and contribute to the development, configuration, and enhancement of different components of the information management systems within the ArcGIS environment. The role also involves supporting the integration and maintenance of these systems to ensure their effective operation.

Your main duties and responsibilities will be:

  • Development of effective data collection tools and methodologies, as well as the design and management of database systems for data management and analysis.
  • Maintenance and administration of the DRC beneficiary database.
  • Implementation of functional features and user interfaces, such as dashboards and databases.
  • Collaborate with other departments to improve the product on their feedback.
  • Support Team Leaders in technical application of the database in instances where the data entry is undertaken by programme staff.
  • Support programme colleagues in case of any technical difficulties or questions regarding the database and IM in general; provide trainings for colleagues on how to use the database.
  • Ensure information regarding beneficiaries is consolidated into one database and is up-to-date; identify missing data and follow up with Team Leaders.
  • Support in providing beneficiary lists and data for monitoring activities, including PDM and evaluation reports.
  • Apply data program techniques and procedures.
  • In line with DRC’s Information Management SoPs, keep all data protected and confidential.

About You
To be successful in this role we expect you to have
a
t least 2 years of experience in developing data collection and analysis tools within the Esri / ArcGIS Online environment
.
Moreover, we also expect the following:

Required

  • University degree in Information Technology, Information Systems, Statistics, Social Sciences or a relevant field.
  • Knowledge of Survey123, or other data collection applications.
  • Advanced level of English language proficiency; Fluency in Ukrainian.
  • Confident user in MS Word, Excel, PowerPoint and Outlook.
  • Proven abilities in data collection, compilation, analysis and reporting with ability to write in a clear and concise manner and effective oral communication.
  • Proficiency in ArcGIS Dashboard and Experience Builder will be considered an advantage is a key requirement.

In this position, you are expected to demonstrate DRC’ five core competencies:

  • Striving for excellence: You focus on reaching results while ensuring an efficient process.
  • Collaborating: You involve relevant parties and encourage feedback.
  • Taking the lead: You take ownership and initiative while aiming for innovation.
  • Communicating: You listen and speak effectively and honestly.
  • Demonstrating integrity: You uphold and promote the highest standards of ethical and professional conduct in relation to our values and Code of Conduct, including safeguarding against sexual exploitation, abuse and harassment.

We offer

  • Contract length: 3-month probation period, with the possibility of extension subject to performance.
  • Band: H – non-manager.
  • Designation of Duty Station: Kyiv.
  • Start date: as soon as possible.

Salary and conditions will be in accordance with Danish Refugee Council’s Terms of Employment for employees on national contracts; starting from
2025 EUR gross
per month (depending on experience and qualifications).

Application process
All applicants must upload a cover letter and an updated CV (no longer than four pages) in English.

A
pplications sent by email will not be considered.
Closing date for applications: 22 August
, 2026
.

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

Senior Big Data Engineer (Scala/Spark)

Grid Dynamics

Kyivsenior

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Описание вакансии

We are looking for a
Senior Big Data Engineer
to join a Content Metadata team responsible for building and maintaining scalable data pipelines and datasets used by internal stakeholders.

The role focuses on large-scale data processing, metadata-driven datasets, and the design and implementation of reliable big data solutions.

Responsibilities

  • Gather and clarify technical and business requirements with stakeholders
  • Design scalable data processing solutions and data pipelines
  • Build and maintain big data pipelines and data aggregates
  • Develop reliable and maintainable data processing solutions using Scala and Spark
  • Work with large datasets and optimize pipelines for performance and scalability
  • Collaborate with engineering teams and stakeholders on data architecture and delivery
  • Participate in technical design discussions and contribute to engineering best practices

Requirements

  • Strong experience with Scala and Apache Spark
  • Solid experience designing and building data pipelines
  • Strong software engineering and problem-solving skills
  • Experience working with large-scale data processing systems
  • Good understanding of data modeling and data processing best practices
  • English level B2 or higher
  • Ability to provide partial overlap with Pacific Time, including occasional calls until 9:00 PM Kyiv time

Nice to have

  • Experience with AWS
  • Experience with Snowflake
  • Experience migrating large-scale data platforms or datasets from on-premises infrastructure to the cloud
  • Experience with cloud-based big data architectures

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

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.

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

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Senior Data Engineer (Databricks Migration)Sigma Software · Ukraine

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