join

our team.

Data Engineer

Location: North Rhine-Westphalia, Germany

Apply

Job Number: 1339

External Description:


The mission of the business intelligence team is to create a data-driven culture which empowers leaders
to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency,
and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading
indicators to easily identify trends aimed at data-based decision-making.


The Data Engineer’s role is to design and develop software and computer systems. This person
implements designs by writing computer programs, updating and troubleshooting or repairing existing
programs to optimize operational efficiency. This role is also responsible for helping to develop and
implement future technology roadmap initiatives.

 

Key activities:

  • Build scalable and reusable libraries
  • Follow industry best practices for coding and implementing new projects
  • Utilize agile and SDLC methodologies
  • Serve as subject matter expert to create process and maintain templates for technical requirements gathering for functional and nonfunctional requirements in a standardized fashion
  • Consult with business analysts to plan project execution including appropriate product and  technical specifications, direction, resources, and establishing realistic completion times
  • Utilize knowledge of technology roadmap to provide forward-thinking recommendations
  • Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes
  • Troubleshoot, and provide technical guidance to resolve issues related to misaligned or inaccurate data or data fields or new customer requirements
  • Resolve escalated reporting requests and communicate proactively and timely
  • Maintain new release, migration, and sprint schedules for software upgrades, enhancements, and fixes to aid with product evolution
  • Write QA/QC Scripts to conduct first round of testing and partner with BA team for test validation for new developments prior to moving to production
  • Use industry knowledge & feedback to aid in the development of technology roadmap and future product(s) vision
  • Document standard ways of working via QRGs, intranet pages, and video series

Experience

  • 5-7 years software development experience with at least 3+ of years of experience as a data engineer
  • Minimum of seven years of experience working through the design, development, release cycle, and delivery of software products to the market
  • Project Management and/or process improvement experience highly preferred
  • Knowledge, Skills, and Abilities
  • Intermediate to advanced knowledge of Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
  • Knowledge of SSIS & SQL Server technologies is desirable.
  • Any experience with .NET / open source web development tools will be an advantage
  • Experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered for this opportunity
  • Any exposure to Kafka, Spark and Scala will be an added advantage
  • Should demonstrate strong understanding of OOPS concepts and methodologies
  • Strong understanding of software developmen
  • Intrinsic motivation and problem-solving
  • Proactive leadership, project management, time management, and problem solving skills
  • Demonstrated continuous improvement, process documentation, and workflow skills
  • Extensive experience with data analysis , modeling and data pipelining including : data cleaning, standardizing, scaling, tuning , scheduling and deployment
  • Experience composing detailed technical documentation and procedures for data models
  • Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality
  • Strong drive and commitment for delivering outstanding results
  • Strong follow up and service orientation

Job Number: 1339

Community / Marketing Title: Data Engineer

Location_formattedLocationLong: Budapest, Pest HU