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Data Engineer

  • By Barbara Rusek
  • 8 March 2022
  • 562 Views

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. 

Job Overview

Our client’s Data Engineer are responsible for developing, optimizing and standardizing data assets/new projects which add value to their company. Their Data Engineer carry a unique position whereby they are 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 in TE 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. Data Engineer is working closely with Business Intelligence Analyst to deliver project with expected business values.

What your background should look like:
At our client’s company they strongly believe that data and analytics are strategic drivers for future success. They are investing significantly in building our advanced analytics team. The Analytics team at TE is part of the TE Information Solutions (TEIS) Organization and 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 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.

Responsibilities

  • Work with stakeholders/ACOE Team members to identify reporting needs, metrics and systems.
  • Support the modeling and creation of datasets using Python and/or SQL to be then used for self-service dashboard reports. Have deep knowledge of 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

Requirements

  • 2-3 years of hands-on data engineering experience
  • Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Redshift, etc.)
  • Sound knowledge of ETL practices.
  • Coding experience Python
  • Unix or other shell scripting, and exposure to job scheduling software such as Control-M
  • Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information
  • Commitment to build using established coding and naming standards
  • Strong problem solver who can invent new techniques and approaches if necessary
  • Exposure to systems like ERP system (SAP), Salesforce.com, etc.
  • Visualization tool experience like with Tableau or Power BI

They value:

  • Experience in business domains – supply chain, pricing, sales & marketing
  • Ability to work in a fast-paced environment
  • Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably from AWS, Google, Microsoft, or Cloudera
  • Data Engineering & AWS Cloud Certifications
  • Experience with advanced analytical algorithms like AI, ML

What they can offer 

  • 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,
  • Possibility to work from home or from the office,
  • Modern and comfortable office with chill out zone
  • Hybrid work model

Note: Prepare your CV in English (PDF), fill in the form and apply! 🙂

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)

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