Career at Codete - Senior Analytics Engineer - undefined
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Senior Analytics Engineer

Workplace: Kraków, Lublin


Codete is not just a software company, it’s a place where tech-enthusiasts can grow by doing what they love and feel valued for what they are. We’re experienced, agile and versatile: we work with a wide range of technologies in projects from many different industries, and the majority of our team are senior-level specialists. At Codete, there’s always something new to learn!

In May 2019 the Codete team started work on the project implemented for a prestigious brand: a manufacturer of world-famous toys. We are looking for an engineer who loves working with and modeling data to empower our data analysts to answer critical business questions. You will spend the majority of your time-transforming, testing, deploying, and documenting data. You can join us as a Senior Analytics Engineer and work on a team responsible for Kids Compliant Tracking data, ingestion data into our Big Data platform to analyze user behavior in and across our different digital experiences. The team applies software engineering best practices like version control and continuous integration to the analytics codebase (data ops).

Tech Stack: SQL, PrestoDB/Snowflake/Redshift, Python, R, Spark, PowerBI, Tableau, dbt, AWS, Snowplow Analytics

Location: Kraków, Lublin, Remote

- optimizing data models for optimal consumption (e.g., build a single table that allows the data analyst to answer their business questions)
- making a consistent data convention - determine the clearest possible naming convention for tables and views
- documenting data models - what data analysts need to know to understand a data table
- improving the overall quality of data as close to the source as possible rather than cleaning it downstream

B2B: 18 000 - 22 000 PLN NET
CoE: 15 000 - 17 500 PLN GROSS


5 years of experience in a similar role
Background as either an engineer (software or DB admin) or data analyst and are motivated by making sense of vast amounts of raw data
Experience with modeling data in SQL
Experience working with data warehouses databases like PrestoDB, Snowflake or Redshift
The ability to write clean code in Python, R, Java/C#/Scala
Experience working with ETL/ELT processes and tools like Spark
Experience working with BI tools like Power BI or Tableau
Nice to have:
Experience working with dbt
Experience working with AWS
Experience working with Snowplow Analytics or similar tracking solution

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At Codete, we value the skills and passion people bring to our projects.
On top of the competitive salary, we offer additional benefits:

and Values

  • fair and supportive community

  • integration and team-building events

  • flexible working hours

  • possibility to work remotely

  • international business trips

and Development

  • individual career approach

  • technical and soft skills trainings

  • switching between projects and technologies

  • participation in external conferences

  • English lessons

and Culture

  • Codete meetups and online events

  • CodeteCON conferences

  • open source and R&D department initiatives

  • well-stocked internal library

  • support for your ideas

and Relax

  • private healthcare package

  • MultiSport package

  • sports and recreation events

  • chillout room

  • fresh fruits and juicer

Recruitment process

We make an effort to assess your skills best and match them to a project which meets your expectations.

Send your resume. Successful applicants will receive an invitation for a job interview in our office or remotely via Skype.
Job interview
You will meet our HR and Tech Recruiters. Your knowledge will be assessed during the interview process.
Meeting with Product Owner
You will find out more about the project and meet key people in the team.
Welcome on board

Extended feedback

The Codete Evaluation Report™ is individually tailored for every candidate. It identifies strong points and possible deficiencies to work on with recommendations. CER is an extensive document, which will be sent by mail.

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