All offersWrocławDataLead/ Senior Data Engineer with AWS
Lead/ Senior Data Engineer with AWS
Altimetrik Poland

Lead/ Senior Data Engineer with AWS

Altimetrik Poland
Type of work
Employment Type
Operating mode

Tech stack


Job description

Online interview

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes, in an agile way, to both enterprises and startups coming from all industries, to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.

 We are looking for a Lead/Senior Data Engineer with AWS willing to join our team!

Your role in the project:

  • Understand and analyze business requirements to design and implement scalable data solutions in AWS. 
  • Understand data sources and legacy solutions to design optimal data architecture and migration strategy. 
  • Design and develop ETL pipelines using AWS services such as Lambda, Glue, S3, Step Functions, DynamoDB, etc., to ingest, transform, and load large volumes of data. 
  • Lead and mentor junior data engineers, providing technical guidance, reviewing code, and promoting best practices. 
  • Stay updated with the latest trends and advancements in AWS services and data engineering techniques, and share knowledge with the team. 
  • Drive continuous improvement initiatives to enhance data quality, performance, and reliability of data pipelines and analytics solutions. 
  • Participate in architectural discussions, contribute to the design of scalable and resilient data systems, and ensure adherence to best practices and standards. 

If you possess...

  • 7+ years of experience in data engineering, with a focus on developing serverless solutions in AWS.  
  • Proficiency in AWS services such as Lambda, Glue, S3, Step Functions, DynamoDB, etc., and hands-on experience in designing and implementing solution architectures using these services. 
  • Solid understanding and hands-on experience in data modeling, database design, and data warehousing. 
  • Experience in designing and optimizing ETL pipelines for large-scale data processing and analytics. 
  • Strong programming skills in languages such as Python/PySpark and experience with data processing frameworks like Apache Spark. 
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and mentor junior colleagues. 
  • AWS certification(s) such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Associate (preferred). 

… then we are looking for you!

We work 100% remotely or from our hub in Wrocław.

🔥We grow fast.

🤓We learn a lot.

🤹We prefer to do things instead of just talking about them.

If you like to work in an environment that values trust and empowerment... don't hesitate, just apply!