Netcompany

Technology

DataEngineer(Senior-Lead)

€55–85k ~AI est. Athens, Greece FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Engineer (Senior-Lead) at Netcompany. Skills: Data Engineering, Cloud Data Platforms, Data Lakes, Lakehouses. Lead Cloud Data Management Engineers. Lead Data Lake Engineers”

Industry & Context.

Technology

What They're Looking For.

Must Have

Solid data engineering experience, Experience leading small teams, Hands-on with major cloud data platform, Good SQL and Python, Experience in ELT/ETL, Data modelling experience, Spark experience, Workflow orchestration experience, Experience designing for performance, Experience designing for cost, Experience designing for security, Experience designing for data quality, Communication and coaching mindset, Bachelor's or Master's degree

Nice to Have

Hands-on use of AI coding assistants, Experience with dbt, Exposure to Microsoft Fabric, Familiarity with data governance platforms, Experience with BI tooling, Experience with streaming technologies

What You'll Do.

Lead Cloud Data Management Engineers

Lead Data Lake Engineers

Design cloud-native data lakes

Implement medallion architecture solutions

Stay close to the code

Drive engineering quality

Embed AI coding assistants

Embed agentic workflows

Take ownership of client delivery

Plan client engagements

Prioritize client engagements

Own engagement delivery end-to-end

Scope client engagements

Estimate client engagements

Communicate with clients

Build ELT/ETL pipelines

Implement quality controls

Implement observability controls

Adopt AI coding assistants

Promote agentic workflows

Support solution design

Support technical estimations

Align with stakeholders

Apply engineering best practices

Implement CI/CD for data

Collaborate with AI/ML teams

Collaborate with BI teams

Collaborate with application teams

How You'll Work.

Team & Collaboration

Client engagements; AI/ML teams; BI teams; Application teams

Communication Scope

Client communication

Process & Methodology

Planning, Prioritization, Scope, Estimates, Milestones, Risk Management

Full Job Description

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 Engineer (Senior-Lead) in Netcompany ? Joining us as a Data Engineer (Senior-Lead) , 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 or Databricks. 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 Data Engineer (Senior-Lead) you will: * Lead a small team of Cloud Data Management and Data Lake Engineers delivering client engagements — planning, prioritisation, code reviews and mentoring. * 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 or Databricks, with robust ELT/ETL pipelines, data models and quality / observability controls. * Adopt and promote AI coding assistants and agentic workflows inside your team. * Support the Senior Manager on solution design, technical estimations and pre-sales activities; align with sector / account stakeholders. * Apply engineering best practices — version control, CI/CD for data, IaC, DataOps, security and governance — and collaborate with A

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