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Senior Data Engineer with Python



Here is the breakdown of the most important parts of your role:

  • Take part in all application development life cycle phase;
  • Develop software systems and participate in logical and physical design of the product by understanding the business requirements;
  • Solve complex technical problems that other team members may encounter;
  • Take part in a broad range of complex technical or professional work activities, in a variety of contexts;
  • Work under general direction within a clear framework of accountability;
  • Be an integral part of a Scrum team, review and enforce the quality of code written within your team;
  • Offer support to junior team members.


Qualifications and Experience

We are looking to expand our team with open, thoughtful, and adaptable colleagues who have 4+ years experience with the following:

  • Strong understanding of building microservices oriented applications in Python and containerization with Docker;
  • Experience with Web Services, JSON, XML, YML;
  • Expertise in at least one Python framework like Django, Flask, etc.
  • Experience with workflow orchestration and distributed system is desired;
  • Experience with Luigi or Airflow is a plus;
  • Experience with SQL and NoSQL databases (ex: MongoDB);
  • Experience with data lake storage or cloud storage technologies is a plus;
  • Experience with data engineering, data science and machine learning is a plus;
  • Prior hands-on experience in developing and deploying Microservices solutions on Kubernetes/OCP clusters;
  • Understanding of DevOps tools;
  • Experience in building web APIs with REST;
  • Advanced skills in object-oriented and functional programming and design;
  • A firm grasp of multi-threading and parallel programming, IO and networking.

Endava’s philosophy is to both challenge and support you to do the best work of your career.


Additional Information

Additional benefits:

  • Private health insurance, monthly sports allowance & meal tickets;
  • Loyalty annual leave days & replacement days for weekend bank holidays;
  • Various options for purchasing Endava shares at a preferential price;
  • Referral bonus;
  • Work from home and flexible working hours;
  • Multiple offers and employee discounts;
  • Ongoing learning opportunities – complex projects, trainings, coaching, conferences, workshops, certifications, online learning platforms subscriptions etc. ;
  • Diverse company social life - events, sports tournaments, team buildings, passion groups (e.g. hiking, book club, green team);
  • Multicultural environment - working with colleagues and clients across different countries.

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