Databricks Specialist (Senior Solutions Consultant) Area Data, AI & Analytics Germany

Solita Oy WorkFromHome

Stellenbeschreibung:

Databricks Specialist (Senior Solutions Consultant)

Do you want to expand your expertise in a company based upon Nordic values? Become our next Data Engineer & Databricks Specialist!

Solita is a digital transformation company driven by data and human insight. We have implemented hundreds of data-driven solutions for large-scale companies and organisations. Automatization of processes with the help of AI and Machine Learning, as well as helping companies create new data-based services are some of our core competences. We have more than 1000 highly skilled specialists in the fields of software development, data, cloud and service design. We are now looking for a Data Engineer in Germany to join our fairly new team in a start‑up style atmosphere with Nordic based work culture. We have offices in Munich and Berlin, and have a hybrid work type, made according to your own needs.

Data is one of Solita’s four areas of expertise. We have more than 200 data specialists, and our knowledge portfolio contains a variety of data-related specialisations involving data solutions in almost all technologies, both in the cloud and otherwise. In Solita, you will be part of a team that is courageous and passionate, but at the same time easy‑going.

As a Senior Data Engineer & Databricks Specialist, you will have these Key Responsibilities:

  • Design and implement multi‑hop pipeline architectures using Databricks Lakehouse.
  • Optimize Apache Spark workloads for performance and scalability.
  • Build robust ETL pipelines and data models using SQL and/or Python and Scala.
  • Lead client workshops to understand business needs and translate them into technical solutions.
  • Act as a trusted advisor throughout the project lifecycle, ensuring best practices and successful delivery.
  • Share expertise with internal teams and clients, fostering adoption of Databricks best practices.
  • Develop reusable frameworks and documentation for future projects.

What do we wish for you to have?

  • 4+ years in data engineering and 5+ years in consulting roles.
  • Deep hands‑on experience with Apache Spark and Databricks.
  • Familiarity with multi‑hop pipeline architecture in Databricks.
  • Experience with big data engines like Spark, Hadoop, Flink and Presto.
  • Proficiency in SQL. Also in Python and Scala as a plus.
  • Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and their data services.
  • Excellent communication, presentation, and whiteboarding skills.
  • Ability to translate complex technical concepts into clear business value.
  • Fluent in English and in German

We foster a culture of experimentation and autonomy. We strive to provide added value to our customers through our own innovative software product development, which is changing working methods in the industry. The typical length of a project varies from one month to a few years, and the situation can be altered according to your wishes. We believe in autonomous way of working; you have the freedom to choose what you do and the responsibility to get it done. We use modern agile methodologies and modern technologies in our projects. You will have an influence on how Solita develops as a company.

Let’s discuss & get to know each other!

We value your skills, but we are also interested in you as a person. Send us your CV and informal application, and tell us what you are good at and what is your motivation for applying for this position.

I identify as *

  • Female
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By submitting application, I understand that my personal data will be used by Solita Group to manage the recruitment process and evaluate my suitability for employment.
Read more about Solita’s data protection practices in recruitment context.

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NOTE / HINWEIS:
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DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    02 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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