Data Engineer Tech Lead

  • Full time
  • Prague
  • Posted 1 week ago
Helm (advanced)
Kubernetes (advanced)
Terraform (advanced)
Azure (advanced)
Python (advanced)
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About the project: 

The project is about creating two microservices:
  1. Stock Position 
  2. Stock Mutation for physical grocery stores in the Netherlands. 
Stocks are the heart of a store and currently they are in an Oracle monolith.
The stock information of the stores will be consumed by IT sub systems like Data Lake, Finance, Store Operations, Sustainability, Replenishment systems, End Consumer Mobile applications. 

The project has to ensure that this information is available in a performant way via API’s and will act as a golden source.

Tech Stack: 
  1. Data Engineering: Pyspark, Python, Azure SQL, Azure Synapse, Azure Data Factory, Azure Data Lake, Spark SQL, Databricks
  2. Platform Engineering: Azure Devops, Terraform, Databrics, AWX Ansible, Kafka, Mule
  3. Infrastructure: Azure, Terraform, Kubernetes (AKS), Helm, Docker

  • 5+ years of experience designing and implementing data platform solutions that processed, transformed data efficiently, secure and reliable.
  • Strong programming skills in Python.
  • Strong hands-on Azure data technologies experience such as ADLS, Databricks, EventHub, Synapse, SQLServer, DevOps, Terraform, Python, PySpark Bash, Git.
  • Agile and DevOps mindset and experience in architect role in such environment
  • A deep understanding of software development
  • Solution oriented and result driven
  • Excellent verbal and written communication skills , able to communicate with business and translate requirements into concrete user stories, work with a team to refine and realize stories.
  • Strong ability to design, document, present, communicate and implement a solution. 
  • Strong interpersonal skills and ability to deal with complexity of large organizations
  • Good knowledge of English (min. B2 level)

  • Leading the design of new or changed solutions and guiding them through gates like architecture and security, by proper documentation and presentation
  • Guiding your team through all aspects of engineering 
  • Collaboration with stakeholders in a variety of functions including but not limited to engineering, product, architects.
  • Coaching and development of other engineers in your team
  • Timely delivery of new features according to high quality standards,
  • Contact with other leaders and key stakeholders to determine engineering feasibility, cost effectiveness, scalability and time-to-market for new and existing products
  • Shaping and delivering the roadmap and architectural runway
  • Building quality software and infrastructure (Azure based Data Platform)
  • Development of data models and processing of raw data at scale to make it available for analysis
  • Understanding business context and translate stakeholder needs into well-designed data models
  • Work cross-functionally with analysts and various engineering and data science teams to identify and execute new opportunities 
  • Create structured and reliable documentation;

 More about Stepwise: 
  • Juicy tech stack: 
  • A great work environment with passionate and skilled people
  • No procedures and other corporate “beauties”
  • A flat organization with no levels of middle management between staff 
  • Possibility of choosing tools, languages & libraries
  • International projects from France, Germany, Netherlands and UK 
  • We know what is Work-Life Balance by example
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Still not convinced?
We invite you to our office. See how we work and talk to the team. 

To apply for this job please visit