Data QA Engineer IRC295789

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

• Review available data sources, access patterns, interfaces, and integration options
• Assess data availability, quality, completeness, and readiness for prioritized use cases
• Identify ingestion, ETL/ELT, API, and system integration requirements
• Validate whether proposed AI, automation, and reporting use cases are technically feasible
• Identify implementation risks, blockers, dependencies, and assumptions
• Support platform recommendation with implementation-level input
• Provide rough sizing for Phase 2 build activities
• Help distinguish what can be piloted quickly versus what requires deeper platform work
• Support technical documentation for final recommendations

What You Bring

• Strong hands-on data engineering or backend engineering background
• Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations
• Working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms
• Ability to assess data readiness and implementation feasibility
• Experience supporting architecture and discovery phases
• Ability to communicate technical risks clearly to non-technical stakeholders

Nice to Have

• ERP, CRM, MES, finance, reporting, or operational systems integration
• Experience with data quality, master data, data ingestion, and platform modernization
• Exposure to AI/ML or GenAI implementation prerequisites

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
• Compensation details are shared with candidates at the early stage of the recruitment process.
• The offer is not binding until a signed contract is in place.

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Who We Are
You will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices.

We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud native data products that enable advanced reporting, analytics, and decision making across the organization.

What You'll Be Doing

• Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
• Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models
• Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code
• Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability
• Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
• Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
• Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards

What You'll Bring Along

• University degree in computer science or a comparable qualification
• At least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems
• Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses)
• Proven experience with Python and PySpark for scalable data processing in distributed environments
• Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices
• Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services
• Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment
• Proficiency with version control, CI/CD pipelines, and automated testing frameworks
• Ability to troubleshoot and optimize performance across compute, storage, and processing layers

Nice To Have

• Experience with Infrastructure as Code (Terraform, Ansible, Chef)
• Knowledge of shell scripting.
• Experience in financial services or regulated environments

Location: Bucharest Orhideea, Romania

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

We're Thales ECC Bucharest, one of the fastest-growing engineering centers in the city. Our data feeds real European operations, not quarterly dashboards.

THE WORK
ETL/ELT development, data platforms, and big data pipelines on European programs where the data feeds real operations. Plus a live growth path into our AI factory for profiles that want to move toward ML engineering.

YOUR STACK
Python, SQL, Spark or equivalent, data modeling, orchestration (Airflow or similar). Cloud data services a plus. SAP data landscape exposure welcome.

YOU
2+ years in data engineering. You treat data like production code. Not ticking every box? Apply anyway. We hire for trajectory, not checklists.

FRENCH TRACK
French is a multiplier here, never a requirement. French-speaking Data Engineers are structurally rare on this market, we've verified it. The leverage is yours, and our offers reflect it.

What's In It For You
Competitive package, private medical care, meal tickets, flexible/hybrid working, learning budget and certifications, and the stability of a group that has been building critical technology for 130 years.

What Happens Next
Data is a line we hire for all year. Apply in five minutes, no cover letter. Answer a few short questions about your stack and seniority, and a recruiter dedicated to your domain takes it from there. When the right project opens, you're matched first, at your level, on your timeline.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

About us

Equans is a world leader in the energy and services sector, with annual revenues of nearly €19,2 billion* and almost 800,000 projects.

Equans has leading positions in Europe, which is the result of the history of energy construction in these countries, and strong presences in North and South America and in Oceania.

With nearly 90,000 highly skilled employees, Equans has a strong geographic footprint, anchored by historic local brands. Equans provides its customers with excellent technical expertise in the design, installation, maintenance, and operation of multi-technical facilities. This know-how is based on key skills. First of all, in electrical and thermal engineering - two strong points that help accelerate the reduction of our clients' carbon footprint - but also in ventilation, refrigeration, mechanics and robotics, fire protection, energy renovation, digital solutions, IT, cyber security and telecommunications.

The combination of thes expertises allows us to offer efficient and optimised solutions at all stages of the energy chain, from production, storage and transport to usage.

(*) Turnover 2024 consolidated

Summary of the role

We are looking for an
AI Cyber Data Science Specialist
to join our international cybersecurity team.

In this role, you'll be responsible for designing, operating and optimizing graph-based data platforms and AI solutions supporting Equans cybersecurity use cases. The role combines Neo4j Aura product ownership, advanced graph algorithms and data structures expertise, agentic AI architecture performance and reliability management, and hands-on integration of data pipelines across the IT ecosystem. Acting as SLS Data SPOC and Group/Innovation/special projects SPOC, the specialist drives end-to-end business cases, from opportunity framing to measurable value delivery.

The scope of the IT HUB AI Cyber Data Science Specialist role may evolve with the rapidly evolving environment of AI and Cybersecurity.

Key Missions

The purpose of the IT HUB AI Cyber Data Science Specialist role is to apply graph-based AI techniques (with a focus on Neo4j Aura) to support Cybersecurity use cases that require deterministic outputs that genAI only struggles to produce. The role ensures that graph data models provide solid knowledge grounding for agentic AI architectures in the cyber domain.

• Provide product ownership for the Neo4j Aura platform and associated graph services.
• Design and maintain data pipelines and models enabling graph analytics and agentic AI use cases.
• Integrate data pipelines in the graph analytics platform, using ETL or MCP typically.
• Act as SLS Data SPOC for data pipelines integration when business data is involved.
• Promote forward-thinking approaches to AI and data, including demonstrating the value of graph approaches as complimentary to genAI and agentic systems for mission critical applications.

Expected Impact:

Deliver high-value AI and graph-based use cases, improve data discoverability and relationships understanding, and create reusable graph and AI assets for Cyber use cases.

Stakeholders and Collaboration

The IT HUB AI Cyber Data Science Specialist interacts with multiple stakeholders across Equans and Group-level organizations.

• IT HUB AI & Data teams (data engineers, data scientists, AI architects).
• Cybersecurity teams sponsoring graph/AI use cases.
• Innovation, Group digital and special project teams if needed (Group/Innovation/SPOC role).
• Vendor and partner contacts for Neo4j Aura, cloud and AI services.

What are we looking for

Education & Background:

• Master’s degree in Computer Science, Applied Mathematics, Data Science, Engineering or equivalent experience.
• 5+ years in data engineering, data science or software engineering, including experience with graph databases or knowledge graphs; experience in AI/ML or LLM-based solutions is a strong asset.
• Neo4j (Aura preferred), graph modeling and algorithms, data engineering (ETL/ELT, APIs), Python/Java or similar, cloud platforms, LLM integration and tuning, observability and performance optimization.
• Agile/Scrum or Kanban, DevOps/MLOps practices, product ownership basics, documentation and testing culture.
• Prior experience in a data scientist, cybersecurity role.
• Experience working in an international, multi-stakeholder environment.
• Familiarity with secure development lifecycle (SDLC) or MLOps/AI lifecycle practices is a plus.

Skills and Competencies:

A mix of technical skills is required to successfully interface with all data providers and consumers.

• Good understanding of cybersecurity principles, risk management and security controls.
• Technical toolbox for data integration, Python programming, data connectors, ETL scripts, MCP servers…
• Advanced cypher queries to deliver the graph reasoning logic.
• AI/ML experience for specific genAI integrations, such as model post-training on database requests.
• Understanding of the value of graph in the AI ecosystem and designing the right tool for the right use case.

What we offer

• Private medical insurance (Signal Iduna)
• Hybrid working model, offering flexibility between office and home
• Meal vouchers worth 45 RON for each working day
• 24 annual leave days
• Performance bonus, linked to individual and company objectives
• Modern office located in One Cotroceni Park, close to the city center, with easy access to metro and multiple public transport options

Why Join Us?

Motivational Environment

Join a dynamic team of passionate professionals, actively involved in prestigious cybersecurity collaboration networks. Be part of a culture that values excellence, innovation, and mutual support.

Challenging Topics

Contribute to multiple high-impact projects that tackle real-world cybersecurity challenges. Your expertise will make a difference.

Empowered Voices

Your ideas matter. As a valued team member, your input will be heard, respected, and considered in decision-making processes.

Technical Growth

Advance your skills through tailored training programs and hands-on experience. We invest in your development to help you reach your full potential.