Technical Lead / Senior Data Engineer

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Are you passionate about data? Do you seek professional growth and development? Would you like to participate in the development of leading intelligence platform? If yes, you have an excellent opportunity in the company which is the world leader in the field of data analysis in the information technology market. Their customers include almost all major players in the IT market, whether they are manufactures of mobile devices, operating systems, operating search portals, or producers of computers, printers, network elements, or are at the forefront of other industries.

In this role, you will lead a small team of data analysts and build some of the most advanced data products in the cloud. You will also define and help launch innovative analytical products through data operations.

JOB DESCRIPTION

  • Design the architecture for ingesting, cleaning, transforming, and loading data from source to destination.
  • Prototype end-to-end data operation pipeline; test and QA the pipeline; productionize the pipeline.
  • Monitor data quality and maintain pipeline in development, QA and production environments.
  • Draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
  • Communicate with technical teams and management to collect requirements, describe data modeling decisions and data engineering strategy.
  • Provide support and oversight for team members.

CANDIDATE PROFILE

  • 5+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning/business planning or advanced degree.
  • Experience with Python, PostgreSQL. Knowledge of AWS, Apache Airflow/Beam is preferred.
  • Knowledge of any of the following is a plus: GraphQL, GraphDB, PostgresSQL, Node.js, REST API, gRPC, Java, Jenkins, Docker, Splunk.
  • Experience working in very large data warehouse environments; understand the best practices for querying and analyzing dataset to support business decision making.
  • Be self-driven, and show ability to ETL/ELT on ambiguous projects in spite of incomplete or inaccurate data.
  • Experience managing individuals for team outcomes is not necessary but will be an advantage.
  • Degree from Computer Science, Engineering, Mathematics or related field preferred.
  • Knowledge of English and Czech/Slovak.

WE OFFER

  • Job in a leading company in the field of data research
  • Time for self-development + other training
  • Flexible working hours
  • 5 weeks of vacations
  • Sick days
  • Annual bonus
  • Cafeteria system (retirement supplement, tickets to cultural events, Multisport, discounted mobile tariff)
  • Meal vouchers
  • Office in the centre of Prague

LOCATION

  • Praha

Job Type

  • Full-time

Sector

  • Development & Engineering
  • Data Science & Analytics

Your recruiter

Alexandra Vorobyová