Big Data Engineer

Posted 3 Hours Ago
Be an Early Applicant
Hiring Remotely in Greece
Remote
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and operate production data pipelines and dbt models to serve ML and analytics workflows. Work with relational, vector, and graph stores, large-scale Spark/PySpark processing, SQL transformations, Python ETL, and ensure data quality via tests, monitoring, logging, and CI/CD. Collaborate with data scientists and maintain infrastructure-as-code for reliable, production-grade data platforms.
Summary Generated by Built In

Are you passionate about AI? 🤖

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through 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:

  • Design, build, and maintain data pipelines that serve models, data, and AI workflows to internal and client-facing applications.
  • Work across database types — relational, vector, and graph — modelling and storing data appropriately for each access pattern, in close collaboration with data scientists.
  • Build and maintain dbt models — writing transformation logic, tests, and documentation that ensure data quality and traceability end-to-end.
  • Operate what you build: instrument pipelines with logging, metrics, and tracing; diagnose and resolve production data issues before they become someone else's problem.
  • Write clean, tested, production-quality code and contribute to CI/CD pipelines and infrastructure-as-code.
  • Show up to code reviews, design discussions, and retrospectives — and have something worth saying.

Requirements

Your Superpowers🚀:

  • 3–8 years of experience in data engineering, big data, or related roles.
  • Strong SQL skills for querying, transformation, performance tuning, and data modeling
  • Strong Python programming and scripting experience for ETL development, automation, and data processing.
  • Hands-on experience with Apache Spark and PySpark for large-scale batch or streaming data processing
  • Experience building and maintaining ETL/ELT pipelines in enterprise or on-premise environments.
  • Good to have: Familiarity with Python backend API frameworks such as FastAPI, Flask, or Django for internal data services, orchestration endpoints, or platform integrations.
  • Experience with relational databases and warehouse/lake platforms such as PostgreSQL, Hive, or enterprise data warehouses.
  • Ability to implement data quality checks, testing, monitoring, and pipeline troubleshooting.

Benefits

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.

Skills Required

  • 3-8 years of experience in data engineering, big data, or related roles.
  • Strong SQL skills for querying, transformation, performance tuning, and data modeling.
  • Strong Python programming and scripting experience for ETL development, automation, and data processing.
  • Hands-on experience with Apache Spark and PySpark for large-scale batch or streaming data processing.
  • Experience building and maintaining ETL/ELT pipelines in enterprise or on-premise environments.
  • Build and maintain dbt models, including transformation logic, tests, and documentation.
  • Experience with relational databases and warehouse/lake platforms such as PostgreSQL, Hive, or enterprise data warehouses.
  • Ability to implement data quality checks, testing, monitoring, and pipeline troubleshooting.
  • Operate pipelines with logging, metrics, tracing, and diagnose production data issues.
  • Write clean, tested, production-quality code and contribute to CI/CD pipelines and infrastructure-as-code.
  • Familiarity with Python backend API frameworks such as FastAPI, Flask, or Django for internal data services (good to have).
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The Company
HQ: Athens
94 Employees
Year Founded: 2014

What We Do

Changing the world one algorithm at a time. Satori is a term to describe “the moment of clarity”. We are an Analytics Agency made with one simple vision: To give clarity in decision making, through data and AI. With teams of certified expert architects, analysts, data and AI engineers, we have the depth and experience to deliver simpler and complex data-centric solutions reliably, efficiently and repeatably. Over the past 10 years our people have been delivering innovative solutions to global brands across multiple industries in Financial Services, Retail, FMCG, Energy, Manufacturing, Health and others. Whether it’s a best practices cloud data estate design, a scalable and cost-efficient data warehouse, lake or lakehouse, intuitive and performing BI, optimisation and machine learning, generative (Open)AI and cognitive services, we’ve done it. With a diverse client portfolio we are proud to say we have a >90% retention rate and long standing relationships as a trusted data and AI partner with some of the biggest brands in Europe and beyond. If you want to know more about Satori's services, projects, and clients visit our website and feel free to get in touch directly with our people. If you are a prospective Satorian and want to have a career in building advanced data and AI products for the best companies out there and be part of true innovation, visit our career page and send us your CV!

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