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Data Lead (Data engineer/analyst)
Data

Data Lead (Data engineer/analyst)

Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    Data engineer

    advanced

    data analyst

    advanced

    data migration

    advanced

    ETL

    advanced

    SQL

    advanced

    DynamoDB

    advanced

    Amazon AWS

    advanced

    NoSQL

    advanced

    English

    advanced

Job description

Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups 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.


For our Fintech client from the UK, we are seeking a Data Lead (Data engineer/analyst) to join our growing team.

 

Responsibilities:

  • Lead the end-to-end data migration from the legacy platform to AWS Cloud
  • Stakeholder Collaboration: Conduct requirement analysis and prioritise features. Translate business requirements into technical specifications and data architecture. 
  • Collaborate with the Data Architect and Modeler to ensure smooth implementation of the data migration strategy and target data architecture.
  • Design, build, and maintain ETL pipelines using AWS Glue to transform and load data into target systems such as Amazon Aurora and DynamoDB.
  • Implement and optimise data workflows to ensure high performance and scalability.  
  • Leverage AWS services for data integration and analytics, including Amazon S3, AWS Glue, and Amazon SageMaker.
  • Collaborate with your team to ensure data quality and data security. 


If you possess:

  • Several years of experience in data engineering with experience in leading position. 
  • Extensive hands-on experience in ETL development, particularly with AWS Glue and similar tools.
  • Experience in large-scale data migration projects focusing on automation and optimisation.
  • Strong understanding of data transformation, migration, and integration techniques.
  • Strong SQL skills and experience working with both relational and NoSQL databases.  
  • Experience in data analytics, including data visualisation, reporting, and generating insights.  
  • Proficiency in AWS services like Amazon Aurora, DynamoDB, AWS Glue, and SageMaker.
  • Excellent communication and leadership skills to collaborate with various teams and stakeholders.


… then we are looking for you!


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

🔥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!