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Open nowPosted 3 days ago

Lead Data Engineer M/W/X

EURES job mobility portal442,512 open roles

Where
Belgium
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Your applicationOpen nowLead Data Engineer M/W/XEURES job mobility portal · Belgium

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.1%30 days
This job: posted 3 days ago

EURES job mobility portal median: 6 days open

The posting

As a Senior Data Engineering Lead, you will play a key role in shaping and delivering our healthcare data products. You will combine hands-on technical expertise with team leadership responsibilities, ensuring development efforts stay aligned with product priorities, customer commitments, and technical sustainability.

You will currently lead another Data Engineer, serve as the technical reference point for decisions within the Data Engineering domain, and act as the operational bridge between the Product Lead, the Operations Manager, and the development team.

Your mission is to maximize the delivery of product value while maintaining quality, scalability, and technical excellence.

Key Objectives

· Lead and develop the Data Engineering.

· Translate product priorities into actionable technical work.

· Maintain and prioritize the operational backlog in Jira.

· Ensure high standards of software quality, testing, and documentation.

· Balance product roadmap objectives with delivery commitments and technical constraints.

· Drive automation and continuous improvement initiatives.

· Contribute to the long-term evolution of EMS healthcare data products.

Your responsibilities will be

Technical Leadership

· Lead and mentor a team of Data Engineers (currently one person).

· Define, review, and coordinate the team's work and technical priorities.

· Guide architectural decisions and ensure consistency across developments.

· Review code, mentor developers, and promote engineering best practices.

· Ensure technical debt is identified, documented, and addressed appropriately.

· Act as the primary technical escalation point for the Data Engineering domain.

Product Delivery & Backlog Management

· Maintain and continuously refine the operational backlog in Jira.

· Translate product objectives and functional requirements into prioritized technical tasks.

· Work closely with the Product Lead to ensure roadmap objectives are executable.

· Provide effort estimates and technical feasibility assessments.

· Identify dependencies, risks and capacity constraints.

· Ensure developments are delivered according to agreed priorities and commitments.

Quality & Automation

· Define and implement testing strategies and quality-control mechanisms.

· Establish automated product validation and monitoring processes.

· Build automated reporting and alerting systems.

· Improve traceability, reproducibility and reliability of data processes.

· Promote DataOps practices and continuous improvement.

Data Engineering & Platform Development

· Design and implement scalable data pipelines and processing workflows.

· Develop algorithms supporting terminology mapping, data normalization and quality assessment.

· Automate terminology ingestion and integration processes.

· Collaborate with Product, Data Science and Engineering teams to deploy production-ready solutions.

· Contribute to the continuous evolution of the Termino platform and related products.

Team & Cross-functional Collaboration

· Support the professional growth and development of team members.

· Foster a culture of ownership, collaboration and continuous learning.

· Participate in capacity planning and delivery planning activities.

· Collaborate closely with Product, Operations, Data Science and commercial stakeholders.

· Provide regular visibility on progress, risks and resource needs.

Who you are

· An experienced Data Engineer with a proven track record of delivering production-grade solutions.

· Comfortable leading people while remaining hands-on technically.

· Able to balance business priorities, customer commitments, and technical sustainability.

· Structured and pragmatic in decision-making.

· Strong communicator capable of aligning technical and non-technical stakeholders.

· Passionate about building high-quality healthcare technology solutions.

Tech skills you have:

· Expert-level Python development.

· Data pipeline architecture and implementation.

· ETL/ELT frameworks and data integration workflows.

· Jira backlog management.

· Testing frameworks and software quality practices.

· Git, CI/CD and DevOps principles.

· API design and integration.

· DataOps methodologies.

Bonus points for

· Azure cloud technologies.

· Healthcare data platforms.

· Medical terminologies and terminology mapping.

· Data versioning (DVC).

· Workflow orchestration tools (Airflow, Prefect).

· Agile/Scrum environments.

What's in it for you

· Work with state-of-the-art technologies in a fast-evolving field.

· Join a mission-driven company focused on improving the quality of medical records.

· Be part of a fast-growing team with a strong technological vision.

· Enjoy a vibrant work environment in Brussels ( EU district - Merode Metro Station)

· Benefit from flexible working conditions (hours and location).

Receive a competitive salary with attractive benefits: company car, home working allowance, meal vouchers, health insurance, and 12 extra days off (¿réduction du temps de travail¿).

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  1. A CV for this posting

    Written against EURES job mobility portal's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

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