Data Engineer – Level Greece

Data Engineer – Mid Level Greece

Role type: Permanent

Location: Greece

Data Engineer required to join our Satalia team in Greece

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.

Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.

You'll build and own the pipelines and data models that turn raw data into clean, reliable, well-documented datasets — the foundation our data scientists, analysts, and AI systems build on.

Our current work includes:

- Building data pipelines — robust ETL/ELT pipelines that ingest, transform, and serve large datasets across our marketing intelligence stack.

- Data modelling and transformation — designing well-documented, tested, version- controlled data models (with dbt) that power downstream AI and BI.

- Warehouse and storage design — modelling data in our warehouse/lakehouse and relational databases, choosing the right structure for each access pattern.

- Trustworthy data — orchestration, monitoring, data quality checks, and lineage so the data people depend on is correct and dependable.

- You'll work closely with data scientists and software engineers, own your pipelines end to end, and help shape how we build data at Satalia.

What we want from you:

• Distributed data processing at scale (Apache Spark or similar).
• Containers (Docker) and infrastructure-as-code (Terraform).
• Experience with vector databases (Pinecone, Weaviate, pgvector) or graph databases (Neo4j, Neptune).
• Exposure to ML/LLM-powered data systems (RAG, embeddings, feature/serving pipelines).
• Event-driven or streaming data (Pub/Sub, Kafka) and real-time pipelines.

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.

Good luck!