Head of Data Engineering


33000 - 39000 PLN

Umowa o prac─Ö
Wielko┼Ť─ç firmy
50 - 99
Stack technologiczny
Pracodawca nie ma żadnych wymagań technologicznych

Our client is the owner of technology centre, which creates and provides software solutions for British financial market giant. Their mission is to provide secure software that makes financial transactions easier. You will be a leading role in defining our technology roadmap for a new cloud data platform as well as establishing the data engineering team, operating model and service catalogue that will support our data and analytics strategy.

Head of Data Engineering
Ref. number: 4P202301/23010021


  • Responsible for defining and establishing the data engineering team, operating model and organisational structure.
  • Be an inspiring leader, mentor and assist the development of the data engineering team.
  • Contribute to the roadmap and design of campany's strategic data platform.
  • Responsible for defining data engineering development and technology standards.
  • Accountable for the delivery of data platform and data services to productionise Data Science models and architectural patterns for Software Engineering.
  • Leading the development of streaming systems and manage large data sets.
  • Responsible for ensuring that all data engineering conforms to data management and software engineering standards.
  • Responsible for establishing the data platform service catalogue, defining and operating within appropriate SLA's.


  • 5+ years" experience as a Head of Data Engineering.
  • Experience in leading teams (10-15 people).
  • Experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets.
  • Experience delivering on/prem and cloud data platforms (AWS stack is strongly preferred).
  • Experience with large-scale streaming systems (Kafka, Kinesis, etc.).
  • Proficiency with Big Data systems (Spark, Hadoop, Pig, etc.).
  • Proficiency with SQL and NoSQL databases (Redshift, Athena, Snowflake, MongoDB, Neo4J, etc.).
  • Experience using Python, Java, or Scala for data processing.
  • Agile methodologies and continuous delivery/continuous integration pipelines and technologies.
  • Familiarity with DataOps methods and data quality improvement techniques.
  • Experience in establishing and supporting ML pipelines in production.
  • Excellent Director level stakeholder management and influencing skills.

We offer

  • Private health care & Life insurance;
  • PPE (4% employer contribution without any additional cost nor employee contributions required):
  • Authors rights (tax reliefs due to creative type);
  • English lessons with Native Speaker;
  • MyBenefit Cafeteria (benefits platform);
  • 2 additional days for volunteering events;
  • Annual bonus depending on performance;
  • Life & group insurance;
  • Conference & Training budget;
  • In-house trainings;
  • Team Events;
  • International projects;
  • Flexible work hours.

Ref. number: 4P202301/23010021

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