Lead Data Engineer

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 Lead Data Engineer in Netcompany ?

Joining us as a Lead Data Engineer, you will lead a small team of Cloud Data Management and Data Lake Engineers in our Data Intelligence & AI practice, designing and delivering cloud-native data lakes, lakehouses and medallion-architecture solutions on Azure, AWS and/or Databricks. This is a hands-on technical leadership role: you will stay close to the code, drive engineering quality, and embed AI coding assistants and agentic workflows into how the team works — while mentoring the engineers you lead and taking full ownership of client engagement delivery.

As a Lead Data Engineer you will:

• Lead a small team of Cloud Data Management and Data Lake Engineers towards the delivery of client engagements — planning, prioritisation, code reviews, mentoring and growth.
• Own delivery of your engagements end-to-end: scope, estimates, milestones, risks, quality and client communication.
• Design and build cloud-native data lakes and lakehouses (Delta Lake, Apache Iceberg) using medallion architecture on Azure, AWS and/or Databricks.
• Build and maintain robust ELT/ETL pipelines, data models, and data quality / observability controls, orchestrated with tools such as Apache Airflow, Prefect, Dagster or Databricks Workflows.
• Adopt and promote AI coding assistants, agentic workflows and LLM-based accelerators inside your team to improve productivity and quality.
• Support the Senior Manager on solution design, technical estimations and pre-sales activities; align with sector / account stakeholders.
• Collaborate with AI/ML, BI and application teams so that what you deliver serves analytics, AI and operational use cases.
• Apply engineering best practices: version control, CI/CD for data, IaC, DataOps, security and governance.

What would make you a fit for the role: 

• 6+ years of experience in data engineering / cloud data management, including experience leading a delivery team in a technical lead capacity.
• Hands-on expertise with at least one major cloud data platform — Azure, AWS or Databricks — including data lake / lakehouse design and medallion architecture.
• Strong SQL and Python skills, plus solid experience with ELT/ETL, data modelling and Spark (or equivalent distributed processing).
• Hands-on experience with orchestration tools (Apache Airflow, Prefect, Dagster or Databricks Workflows) and with open table formats such as Delta Lake or Apache Iceberg.
• Practical experience designing for performance, cost, security and data quality in cloud environments.
• Track record of delivering cloud data lake / lakehouse engagements in production.
• Strong communication and stakeholder management skills, and a coaching mindset for the engineers you lead.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or a related field.

It would also be a plus if you match some of the following:

• Experience with dbt for in-warehouse / in-lakehouse transformations and modelling.
• Hands-on use of AI coding assistants and agentic AI tools (e.g. Claude Code, Copilot-class tools, LLM-based agents) to accelerate data engineering work.
• Awareness of GenAI / ML enablement patterns on top of data lakes and lakehouses — feature stores, vector stores (e.g. pgvector, Pinecone, Weaviate, Databricks Vector Search) and RAG.
• Familiarity with data governance platforms (Unity Catalog, Microsoft Purview, Collibra, Atlan or similar) and responsible-AI considerations when feeding AI use cases.
• Exposure to Microsoft Fabric or other emerging unified data platforms.
• Experience with BI tooling (Power BI, Tableau, Qlik) and serving analytics layers on top of data platforms.
• Streaming technologies (Kafka, Spark Structured Streaming, Auto Loader, CDC patterns), Kubernetes, microservices, IBM Cloud Pak for Data.
• DevOps / DataOps tooling and Infrastructure-as-Code (Terraform, Bicep).
• Relevant certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics / Data Engineer, Databricks Certified Data Engineer).

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/