Data Engineering Consultant (m/f) - Microsoft Fabric

At Solvership, we help companies turn complex data challenges into clear business value. Our focus is simple: we make data work.

We deliver precise, reliable, and high-impact Data & AI solutions that create measurable results. With deep expertise and a practical approach, we’ve become a trusted reference point for organizations looking to turn data into real business advantage.

For us, data isn’t just information – it’s an opportunity. And we make sure it delivers.

We’re looking for an experienced Data Engineering Consultant to take a leading role in defining data strategies, designing architecture, and delivering modern cloud data platforms for our clients. This role combines deep technical expertise, architectural leadership, and a client-facing consultancy approach – from the first technical conversation all the way to a solution running in production. If you like owning a data platform project end-to-end, from strategy to delivery, this is your role.

• 5+ years of experience in Data Engineering and Data Architecture, including hands-on delivery of complex projects

  • Advanced hands-on experience and deep architectural understanding of Microsoft Fabric (OneLake, Lakehouse/Data Warehouse, Synapse Data Engineering, Data Factory)

• Strong proficiency in SQL and Python or PySpark, along with transformation and orchestration tools (dbt, Airflow, or native cloud tools)

• Familiarity with at least one major cloud provider (Azure, AWS, or GCP) and modern engineering/DevOps practices

• Proven experience leading client-facing engagements, including technical presales or solution consulting

• Excellent stakeholder management and communication skills, with experience leading architectural workshops and explaining technical concepts to non-technical audiences

• A track record of leading or mentoring project teams, and taking ownership of delivery outcomes

• Fluency in English, both written and spoken

• Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer Associate / DP-600, or similar)

• Experience with Data Mesh concepts, Data Governance, or real-time data processing (streaming)

• Experience with financial, banking, telco, or other regulated-industry data projects

• Experience with LLM/AI-driven solutions and modern agentic or GenAI architectures

• Architecture & Design: Define and implement end-to-end modern data platforms using leading cloud technologies

• Consulting Leadership: Advise clients on technology selection, cost optimization, security, and migration strategies from legacy systems to a modern data stack

• Technical Execution: Build complex ETL/ELT data pipelines, perform data modeling (Data Vault, Star Schema), and establish DataOps and CI/CD practices

• Presales & Solutioning: Lead technical presales activities – understand client needs, shape the proposed solution, and present it convincingly to stakeholders

• Delivery Oversight: Translate business requirements into clear technical roadmaps, and monitor project delivery to ensure quality, timelines, and client expectations are met

• Mentorship: Provide technical leadership for engineering teams, conduct code reviews, establish internal standards, and mentor junior team members

• Stakeholder Management: Act as the main technical point of contact for clients, building long-term trust and relationships

• Dive into cutting-edge technology, supported by a personalized development plan that evolves with you, along with a dedicated budget to fuel your continuous learning

• Collaborate with some of the brightest minds in the industry, where innovation and expertise drive every project forward

• Work on exciting, high-impact projects across a range of industries, from banking to telco, healthcare, retail to tech and beyond

• We’re all about your career growth! From a structured mentoring process to a dedicated education budget, you’ll have access to internal courses and a top-notch tech stack to fuel your development

• Enjoy the freedom to work your way, with flexible hours and the option to work from home. From day one, you’ll be matched with a mentor dedicated to supporting your growth

• Health checks, team activities, PassSport, language courses, paid time off, a referral bonus, and a fair, transparent salary system