Senior Data Solution Engineer

vor 3 Wochen

Hamburg, Deutschland Mabanaft Vollzeit

Fueling tomorrow – that is our vision. The mobility of the future needs innovative solutions. The mobility of the future needs people who can make things happen. The future of mobility needs: you.

Let’s shape the future of the energy industry together 

For our central Data & Analytics department at our location in Hamburg HafenCity we are looking for a

Senior Data Solution Engineer (m/f/d)

Your benefits:

Work-life balance: 38.75 working hours per week with 30 days annual leave

Ability to work freely: flexible working hours and individual remote work arrangement

Suitable for families: subsidized vacation camps for children, nanny support, etc

Security and provisions: accident insurance also covering private accidents; excellent employer's contribution to your company pension scheme. Lifetime Account with opportunities to save for sabbaticals or early retirement

Health: healthy, subsidized meals in our employee restaurant, access to the free gym with sports offers, online sports courses, support in the event of personal problems, and free use of the Headspace app

Learning & Development: we support you on your individual career path

Networking: networks within the company to spotlight all diversity aspects within the company, as well as participate in various company events

Other benefits: Profit participation, Christmas bonus, vacation allowance, travel allowance, etc.

Your purpose:

We are seeking a highly qualified and motivated, tech-savvy Solution Engineer (m/f/d) who can build data solutions to support the work of your stakeholders. Your experience should cover designing data solution as well as implementing the data engineering part and the solution itself. You should be familiar with a variety of implementation options and be able to make a good, cost-effective, and sustainable choice.

Your tasks:

Understanding the stakeholder’s problem and designing the optimal solution using both knowledge and ingenuity

Be capable of understanding complex data (be it the data in the lakehouse or in legacy Excel sheets)

Write the ETL, check and model the data, design the dashboard, communicate with your stakeholders empathically

Willing to learn and to jump in into tasks off the standard tool stack

Collaborate with Data, Analytics & AI Solution Teams

Your skills:

Degree in Computer Science or relevant experience in the data world

5+ years of experience in building and maintaining data products such as Reports, Dashboards and underlying data backend

Proficiency in Python, SQL, Data Modelling & PowerBI

Familiarity with industry development standards like version control, testing, ci/cd, knowledge about DevOps best practices

Understanding of data modelling schemes, and of the medallion architecture

Experience in cloud computing, preferably Azure and Databricks

Experience in Data Science or Data Analysis

Your Contact:

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