Data Engineer
Indexed description
As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!
What Your Day Might Look Like:
- Independently design and maintain scalable ETL pipelines within a collaborative project team, delivering clean, analytics- and AI-ready data
- Work with SQL, Python, PySpark and tools like MS Fabric, Azure Data Factory, Databricks, Snowflake to develop, optimize, and automate data processes
- Design robust ETL, scalable data models and optimised design patterns for analytics and BI workloads
- Ensure data quality and data governance through automated checks, monitoring, source to target mapping, data lineage and continuous improvements
- Collaborate with cross-functional teams to understand data requirements, business semantics and deliver high-quality solutions
- Troubleshoot, optimize, and support production pipelines to keep data flowing smoothly
- Use Git and Agile practices to work effectively in collaborative, iterative projects
- BSc or MSc in Computer Science, Engineering, or similar
- Strong SQL, Python and/or PySpark skills
- Solid professional experience developing ETL pipelines (e.g. Azure Data Factory, Databricks, etc.) and modern data warehouses (e.g. MS Fabric or Databricks delta lakehouse, Snowflake, etc)
- Solid professional experience working with relational and NoSQL databases and systems (MS SQL Server, PostgresSQL, MongoDB, etc)
- Strong understanding of data modelling and design patterns (star-schema, data vault, SCD)
- Basic knowledge of cloud platforms (Azure, AWS, or GCP)
- Basic knowledge of visualization tools (Power BI, Tableau, Looker, etc.)
- Understanding of Agile practices and version control systems (GitHub, Azure DevOps)
- Strong problem-solving skills, eagerness to learn, collaborative spirit, customer facing skills
- Fluent in English, both written and spoken
- 3+ years' experience in hands-on data engineering
- Understanding of AI concepts and architectures
- Experience with enterprise platforms like Salesforce, SAP or Entersoft
- Familiarity with no-code/low-code ETL tools such as Airflow, dbt, Matillion, Fivetran, etc
- Advanced knowledge of PowerBI, Tableau, Qlik, etc
- Exposure to Java or Scala, and OO/functional programming concepts
- Competitive salary and hybrid work model - come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year)
- Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) - whether it's certifications or courses, we've got you covered
- Private insurance, top-tier tech gear, and the chance to work with a stellar crew
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