Senior Data Engineer (m/f/d) – Data & Innovation

Kennziffer: 
Reference number: 
9550
Einsatzort: 
Location: 
Hamburg Or Lübeck
Beschäftigungsart: 
Type of employment: 
Festanstellung
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Our partner, EGON OLDENDORFF Management GmbH, the world market leader in the transport of dry bulk, is looking for a Senior Data Engineer (m/f/d) to join their team at the location of Hamburg/Lübeck. Our partner shifted towards a cloud-based and innovative Technology organization, who established a dynamic, modern and agile working environment. 

Join their culturally diverse 80 people-strong technology team, encouraging creativity and shaping Oldendorff’s digital future. Their data engineering team designs, builds, and maintains scalable data pipelines and architectures to ensure seamless data flow and accessibility across the organization. The team works collaboratively with data scientists, analysts, and other stakeholders to optimize data integration, storage, and retrieval processes.

Introduction of Oldendorff´s technology department: https://www.youtube.com/watch?v=kDihl3J-VyI&t=24s

Aufgaben

Your tasks

  • You work in a group effort with your team to shape and design the BI and data architecture solution in the Cloud
  • You develop data solutions with various platform technologies (e.g., Databricks, Logic Apps, Azure Data Factory, Azure Synapse)
  • You collaborate closely with cross-functional teams, including product owners, software engineers, and business stakeholders, to understand data needs and create solutions that drive business value
  • You develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and timely data flow from various sources to the data warehouse
  • You optimize data storage and retrieval solutions to enhance performance and scalability, utilizing best practices in cloud infrastructure
  • You develop low-code solutions with Power Platform
  • You work on developing the integrated data layer as the foundation for implementing data-driven analysis and reports using SQL and PySpark
  • You support the development team in their selection and implementation of suitable data technologies
  • You examine and evaluate new developments in the field of data technologies

Profil

Your profile

  • Completed Bachelor degree with a focus on information technology or profound experience
  • You have at least 4 years of data engineering experience
  • Profound knowledge of working with cloud technologies (i.e. Azure, AWS) and cloud-based data-integration tools (i.e. Azure Data Factory) in BI environments
  • You have comprehensive knowledge of DevOps principles.
  • You had points of contact with database migration projects (on-premise to cloud) and agile project-processes (i.e. Scrum, Kanban)
  • You have the ability to work in a team, assertiveness and very good English skills

Your Benefits

Benefits

  • An international and multicultural working environment is waiting for you
  • Great chances for development: professional field-related and interdisciplinary training opportunities
  • It’s up to you: Working from the Office in Hamburg/Lübeck/Dubai/Singapore combined with a flexible home office option
  • Too far away? No worries! Relocation support, company bicycle or job ticket for public transport is offered
  • Also social support: subsidy for daycare/childcare for your little ones and fitness studio to keep you healthy, health management and company pension scheme
  • To make it even more easier to change: free choice of hardware for you

Become part of the Data Engineering team and apply now via e-mail! Your contact person is Kristin (kristin.zimmermann@paltron.com). We are looking forward to hearing from you!

 
Through direct cooperation with the decision makers, we guarantee a fast, clear and tailor-made process for you.

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