Data Engineering Senior Manager
Netcompany is hiring a Data Engineering Senior Manager in Athens, Greece. Level rates it ; you can apply on Netcompany.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks and AI agents among its tools and skills.
- Level classes it as a senior role.
- Netcompany has 166 other open roles on Level.
- Posted in the last few days.
AI in this role
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
Ever wondered what it feels like to be a Data Engineering Senior Manager in Netcompany ?
Joining us as a Data Engineering Senior Manager, you will lead and grow multiple delivery teams in our Data Intelligence & AI practice, owning a portfolio of cloud data lake and lakehouse engagements on Azure, AWS or Databricks. You will set technical direction, shape how AI coding assistants and agentic workflows reshape data engineering delivery, lead pre-sales and bids, and grow the Leads who run individual engagements — while staying technically credible enough to go deep when it matters.
As a Data Engineering Senior Manager you will:
- Lead and grow multiple delivery teams of Cloud Data Management and Data Lake Engineers, managing Leads and Engineering Managers, setting technical direction and coaching at scale.
- Own a portfolio of client engagements end-to-end — delivery quality, commercial health, risk, and strategic alignment across the portfolio.
- Shape technical strategy and architecture standards for cloud-native data lakes and lakehouses (Delta Lake, Apache Iceberg) using medallion architecture on Azure, AWS and/or Databricks.
- Drive AI-powered transformation across the practice — shaping how AI coding assistants and agentic workflows reshape data engineering delivery, and rolling these patterns out at scale.
- Lead pre-sales and commercial activities: solution design, technical estimations, bid leadership, and client conversations at Director / VP level.
- Partner with the Head of Data Management and BI Engineering on practice growth — hiring, capability roadmap, and market positioning.
- Build cross-practice partnerships with AI/ML, BI and application leadership, ensuring your teams' work serves analytics, AI and operational use cases end-to-end.
- Champion engineering excellence and DataOps maturity — CI/CD for data, IaC, security, observability and governance — across all teams under your remit.
What would make you a fit for the role:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or a related field.
- 10+ years of experience in data engineering / cloud data management, including experience taking technical leadership of small teams or workstreams.
- Proven track record growing data engineering teams or sub-practices and owning a portfolio of engagements.
- Deep hands-on architecture experience across at least one major cloud data platform — Azure, AWS or Databricks — including data lake / lakehouse design and medallion architecture.
- Strong commercial acumen — leading pre-sales, technical estimations, bid responses and shaping deals with senior client stakeholders.
- Strong technical credibility with SQL, Python, Spark, workflow orchestration and open table formats — you can still go deep in design reviews and architecture decisions when needed.
- Experience setting standards for performance, cost, security and data quality across multiple engagements.
- Strong communication and client relationship skills at senior stakeholder level, with a coaching mindset for the Leads you grow.
Being a part of the Netcompany team, you will be provided with:
- The opportunity to work in a modern environment & in a hybrid working model
- A seamless onboarding experience and a buddy to support you on your first steps
- A competitive compensation & benefits package
- Health and life insurance program
- Meal and commuting allowance
- Well-being activities (on premises)
- Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
- A personalized development plan for targeted career growth
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you'll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
How we rate this
Data Engineering Senior Manager at Netcompany rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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