Data Engineer

Passion for Data, people, and technologyAt least 4+ year’s work experience including hands-on as Data engineer on Google Cloud Platform (GCP) Experience in GCP tools – Dataflow and Bigquery Experience in Data Build Tool (DBT)Experience in different data formats (Avro, Parquet)Experience in data query languages (SQL or similar)Experience with ingesting data from various on premise source systems as well as cloud providers like Azure etc.Experience in data centric programming using one of more programming languages Python, Java /or Scala.Good understanding of different data modelling techniques and trade-offKnowledge of NoSQL and RDBMS databasesHave a collaborative and co-creative mindset with excellent communication skillsMotivated to work in an environment that allows you to work and take decisions independentlyExperience in working with data visualization toolsFluent in English both written and verbal Advantage if you also have: Business understanding of retail industry Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains. With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management. By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society. For our client from retail industry, we realize a recruitment process for Data Engineer. Work Model: 100% Remote (from Poland)Contract Type: B2B ,[Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision, Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform). , Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance. , Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs., Work with product teams within and outside our domain around topics that relate to the data mesh concept., Evaluate and drive continuous improvement and reducing technical debt in the teams, Maintain expertise in latest data/analytics and cloud technologies] Requirements: SQL, Python, dbt, ETL, GCP, Avro, Parquet, BigQuery, DataFlow, CI/CD, Data Quality, NoSQL , RDBMS databases Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects.