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You will be updated with latest job alerts via emailGetInData Part of Xebia is a leading data company working for international Clients delivering innovative projects related to Data AI Cloud Analytics ML/LLM and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fastgrowing scaleups and large corporations that are industry leaders. In 2022 we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.
What about the projects we work with
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics Data Platforms Streaming Analytics Platforms Machine Learning Models Generative AI and more. We like working with top technologies and opensource solutions for Data & AI and ML/AI. In our portfolio you can find Clients from many industries e.g. media ecommerce retail fintech banking and telcos such as Truecaller Spotify ING Acast Volt Play and Allegro. You can read some customer stories here.
What else do we do besides working on projects
We conduct many initiatives like Guilds and Labs and other knowledgesharing initiatives. We build a community around Data & AI thanks to our conference Big Data Technology Warsaw Summit meetup Warsaw Data Tech Talks Radio Data podcast andDATA Pill newsletter.
Data & AI projects that we run and the companys philosophy of sharing knowledge and ideas in this field make GetInData Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.
If you want to be up to date with the latest news from us please follow up on our LinkedIn profile.
About role
A Data Engineers role involves crafting constructing and upholding the structure tools and procedures essential for an organization to gather store modify and scrutinize extensive data amounts. This position involves creating data platforms using typically provided infrastructure and establishing a clear path for Analytics Engineers who utilize the system.
Responsibilities
Working alongside Platform Engineers to assess and choose suitable technologies and tools for the project
Supporting and diagnosing technical problems of the data processing layer
Implementing intricate data intake procedures
Constructing efficient data models
Implementing and executing policies aligned to the strategic plans of the company concerning used technologies work organization etc.
Ensuring compliance with industry standards and regulations in terms of security and data privacy applied in the data processing layer
Providing training and fostering knowledgesharing
Proficiency in a programming language like Python and SQL
Deep understanding of data warehousing concepts and experience with platforms such as Snowflake BigQuery or Redshift
Experience as a programmer and knowledge of software engineering good principles practices and solutions
Familiarity with cloud GCP / AWS
Familiarity with DevOps area and tools GKE Docker
Familiarity with tools like Airflow
Experience with distributed computing frameworks (e.g. Spark Hadoop) and data integration tools
Experience with CI/CD tools and practices for automated testing deployment and monitoring (e.g. Jenkins GitLab CI GitHub Actions)
We offer
Salary: 110 160 PLN net VAT/h B2B (depending on knowledge and experience)
100 remote work
Flexible working hours
Possibility to work from the office located in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
International projects
Possibility of conducting workshops and training
Certifications
Cofinancing sport card
Cofinancing health care
All equipment needed for work
Your application has been successfully submitted!
Full Time