Middle/Senior Data Engineer 

valeriia teslya

Published: 2 Apr, 2024

We are seeking a highly skilled Data Engineer to work in our client’s data team, focusing on the technical aspects of data collection, storage, processing, and analysis. 
Our client is a disruptive tech company offering management consulting services and products at the core. The mission is simple: to help our clients transform innovative & disruptive technologies into business solutions. They offer solutions from ideation and business rethinking into strategy and delivery to help clients leapfrog the competition, carve out new market segments and make them more efficient, scalable, smarter & more profitable. 
    Project from the UK, banking industry, сompany size – 50+ people. 
If you like challenges, if you are curious, proactive and have good interpersonal skills, you like to exchange and share your knowledge in a collaborative and positive atmosphere, join our team! 

Experience / Skills:

  • 2+ years of experience as a Data Engineer 
  • Knowledge of programming languages (e.g., Python, Java, Scala), databases (SQL and NoSQL), and data processing frameworks (e.g., Apache Spark, Hadoop) 
  • Experience with or knowledge of data integration tools (e.g., Apache NiFi, Talend, Airflow) and data storage solutions (e.g., Data Lakes, Data Warehouses) 
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field 
  • Ability to analyze data problems and contribute to the development of innovative solutions 
  • Strong verbal and written communication skills, with the ability to document and explain technical details clearly to non-technical team members 
  • Willingness to continuously learn and adapt to new technologies and methodologies in the field of data engineering 
  • Upper-Intermediate level of English 


  • Assist in the design, construction, and maintenance of scalable data pipelines for data collection, data mining, and analytics using various tools and programming languages (e.g., SQL, Python, Spark) 
  • Help manage database systems, perform routine maintenance, ensure database performance and reliability, and assist with database design and storage 
  • Implement processes and tools to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes 
  • Work closely with data scientists, analysts, and other teams to support their data infrastructure needs and ensure data integrity and consistency across the organization 
  • Provide technical support for data-related issues, document technical processes, and contribute to the development of best practices in data management and engineering 

We offer:  

  • Flexible working schedule, fully remote work opportunities 
  • Competitive salary with regular review 
  • Taxes compensations 
  • Vacation (up to 20 working days) 
  • Paid sick leave (10 working days) 
  • Direct cooperation with the customer 
  • Great working environment and team spirit. 
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