Senior Data Engineer

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

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:

• Lead the implementation of high quality, scalable and performant data solutions leveraging SQL, PySpark, and enterprise-grade tools such as Azure Data Factory, Databricks, Snowflake.
• Work together with Product Owners to ensure that the project team delivers correctly scoped projects on time and on budget.
• Design and implement robust data models (star/snowflake schemas, complex SCDs) and data warehouse/lakehouse patterns to support large-scale analytics and BI platforms.
• Champion data governance and quality by designing frameworks and accelerators for monitoring, lineage tracking, source-to-target mappings, and automated validation processes.
• Partner with stakeholders across engineering, AI, BI, and product teams to define product backlog and ensure data solutions delivery aligned with business requirements.
• Drive performance optimization and troubleshooting strategies for production pipelines, ensuring reliability and scalability under high-demand workloads.
• Establish and enforce best practices in coding, architecture, testing, and DevOps workflows, including Git-based version control and Agile methodologies.
• Mentor and coach data engineers, fostering technical excellence and knowledge sharing across the team.

Your Superpowers 🚀

• BSc or MSc in Computer Science, Engineering, or related field.
• Advanced ETL/ELT and modern data warehousing, such as Azure Data Factory, Databricks, Snowflake, MS Fabric.
• Expert SQL, Python, PySpark with proven performance tuning.
• Strong in relational & NoSQL DBs, such as MS SQL Server, PostgreSQL, MongoDB.
• Deep data modelling expertise, such as star schema, data vault, complex SCDs.
• Proficient in Azure or similar.
• Skilled with BI tools such as Power BI or similar.
• Practitioner of Agile delivery and strong understanding of DevOps/Cloud Engineering techniques.
• Excellent stakeholder engagement and customer-facing communication skills, with the ability to translate complex technical solutions into business value.
• Fluent in English, both written and spoken.

Bonus Points For:

• 5+ years of professional data engineering experience, with a history of technical leadership and decision-making.
• Strong understanding of AI/ML concepts and architectures, ideally applying them to data engineering solutions.
• Extensive experience with enterprise platforms like Salesforce, SAP or Entersoft.
• Experience with no-code/low-code ETL tools such as Airflow, dbt, Matillion, Fivetran, etc.
• Advanced knowledge of multiple cloud platforms, such as Azure, AWS, GCP.
• Advanced knowledge of multiple BI tools, such as PowerBI, Tableau, Qlik, Looker, etc.
• Proven track record and domain knowledge delivering data solutions for industries, such as banking, retail, manufacturing, etc.
• Experience with Java or Scala and OO/functional programming concepts.

Perks on Perks:

• 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.

Ready to create some data magic with us? Hit that apply button and let’s get started.