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Data Engineer

  • By Weronika Nowak
  • 20 October 2022

Our client is a global industrial technology leader creating a safer, sustainable, productive and connected future. Their broad range of connectivity and sensor solutions, proven in the harshest environments, enable advancements in transportation, industrial applications, medical technology, energy, data communications and the home. With approximately 80,000 employees, including more than 7,500 engineers, working alongside customers in approximately 140 countries, our client ensures that EVERY CONNECTION COUNTS.

At our client’s company, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 



As Data Engineer you will be responsible for developing, optimizing and standardizing data assets/new projects which add value to the company. You will carry a unique position whereby you will be involved in all aspects of the data assets development process from gathering requirements, preparing data to final reporting using Data Visualization techniques or working with Front-End developers. Working as a Data Engineer at this company means exposure to the business in working with key stakeholders in addition to diving deep into technical work, with the goal to continually add value and help to strengthen the team. You will work closely with Business Intelligence Analyst to deliver project with expected business values and is working with other Data Engineer teams to deliver expected data assets from internal and external vendors.


Our client strongly believes that data and analytics are strategic drivers for future success. They is investing significantly in building their advanced analytics team. The Analytics team at the company is responsible for driving organic growth by leveraging big data and advanced analytics.
They are on an exciting journey to build and scale their advanced analytics practice; in this position you will apply your skills to unlock opportunities and enable top strategic priorities for the company. You will be working on problems that require advanced analytics applications to create value for diverse business functions such as supply chain, pricing, digital marketing and sales growth, and will impact business units that span through multiple geographic areas.



  • Work closely with Business Intelligence Analysts and Stakeholders to identify reporting needs, metrics, data assets and systems
  • Support the modeling and creation of datasets using AWS Infrastructure (Glue, Lambda), Python, SQL to be then used for self-service dashboard reports
  • Build knowledge about all the datasets inside the data lake to be able to provide guidance to other engineers and/or stakeholders
  • Streamline data preparation and processes for maximum automation and efficiency whilst supporting environment migrations where required
  • Analyze, organize, segment and disseminate raw or unprocessed data based on business needs
  • Be the key anchor for data extraction, preparation and hosting processes
  • Create master data files from disparate data sources by building data pipeline
  • Develop and test architecture for data extraction
  • Provide continuous connectivity to a master data source and access to refreshed data
  • Ensure data quality and reliability
  • Data expert for datasets



  • 4+ years of Data Engineering experience in ETL design, development, optimization & testing using PL/SQL, SAP Data Services (BODS) or Talend etc.
  • 3+ PL/SQL, Complex SQL Tuning, Stored Procedures, Data Warehousing best practices etc.
  • 3+ years of experience in relational or Cloud database design, optimization and performance; preferably with AWS (S3 and Redshift), SAP HANA, BW, and Oracle
  • 3+ years of experience in developing flows using batch, Realtime and streaming process to personalize experiences for our customers
  • 2+ years of experience in designing service-oriented architecture (SOA), RESTful APIs and enterprise application integration (EAI) solutions utilizing MuleSoft Platform
  • Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
  • Experience with creation of solution, project documentation
  • Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines
  • Willingness to flex daily work schedule to allow for time-zone differences for global team communications
  • Strong interpersonal and communication skills


  • Experience in business domains – supply chain, pricing, sales & marketing, finances
  • Data Engineering & AWS Cloud Certifications
  • Experience with advanced analytical algorithms like AI, ML
  • CI/CD knowledge
  • Works with Jira/Confluence/SNOW
  • Experience in Agile methodology



  • Work in a team where a good atmosphere and team spirit is one of greatest values
  • Private medical healthcare for you and your family
  • Attractive package of extra benefits of your choosing
  • Fresh fruits and delicious coffee
  • Flexible working hours
  • Modern and comfortable office with chill out zone
  • 2 days in quarter for self-development and trainings
  • LinkedIn learning platform, Internal learning platform, ACloud Guru


NOTE: Prepare your CV in English (PDF) and fill in the form! 🙂

Please include in your CV the following clause necessary for the recruitment process: 

I agree to the processing of personal data that I have made available voluntarily in the recruitment process by the Administrator of personal data, i.e. Dotcommunity Spółka z ograniczoną odpowiedzialnością [Ltd.] based in Cracow, 15 Żabiniec Street, 31-215 Cracow, registered in Poland, the Cracow’s District Court – Śródmieście, XI Commercial Division of the National Court Register under number 0000468484, VAT number: 9452174499, (“Dotcommunity”) in order to carry out the recruitment process for the Data Engineer position on the basis of Art.6 item 1a of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).




    Dotcommunity is registered in the Register of Employment Agencies (KRAZ) under number 9904.