Senior Data Engineer (Microsoft Fabric, Databricks, PySpark)
Primary stack
Nice to have's
Job description
About the Position
We are seeking an experienced Senior Data Engineer to help design, build, and evolve modern data platforms using Microsoft Azure technologies. You'll develop scalable, secure, and high-performing data solutions while providing technical leadership within the engineering team.
Responsibilities
- Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Databricks, and Azure Synapse.
- Build and optimize ETL/ELT pipelines using PySpark, Spark SQL, and SQL.
- Develop data integration solutions using Azure Data Factory and Fabric Data Factory.
- Act as a subject matter expert for PySpark and Spark SQL, supporting other engineers.
- Lead technical workstreams and mentor junior engineers.
- Scope and define technical solutions for new features and enhancements.
- Own features through the full software development lifecycle.
- Work with Azure DevOps Boards and Repositories throughout feature delivery.
- Participate in code reviews and promote engineering best practices.
- Ensure data platforms are secure, scalable, and high performing.
Requirements
- 5+ years' commercial experience as a Data Engineer.
- Strong experience with Microsoft Fabric, Azure Databricks, or Azure Synapse.
- Strong PySpark and Spark SQL experience.
- Advanced SQL skills, including stored procedures.
- Experience building ETL/ELT pipelines and modern data platforms.
- Experience with Azure Data Factory or Fabric Data Factory.
- Experience using Azure DevOps, including Boards, Repositories, and CI/CD.
- Experience working within Agile/Scrum teams.
- Strong collaboration, communication, and mentoring skills.
Nice to Have
- Graph database experience (Neo4j)
- Snowflake
- Azure DevOps Pipelines
- GitHub Copilot
- Experience with Claude
Certifications (Preferred)
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
- Databricks Professional Certification
- Snowflake Certification
Why Join Us
People are at the heart of our business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. You'll have the opportunity to:
- Work across Microsoft Fabric, Azure Databricks, and Azure Synapse.
- Deliver large-scale enterprise data engineering projects.
- Influence engineering standards and best practices.
- Mentor engineers and contribute to technical leadership.
- Work within a collaborative team solving complex data engineering challenges.
About the Company
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base, and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organizations. To our customers, we bring a partnership that provides the talent, technology, and capability to enhance performance and operational efficiency.
Locations
- Lisbon, Portugal
- Porto, Portugal
For more details, check out this page.
If you have any questions, contact our Talent Acquisition team at ta.admin@acuityanalytics.
For more details about Acuity Analytics, please see here.
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Software Product Development,Analytics and Data Science,IoT Solutions,AI
About the Company Ascent specializes in helping customers bridge the gap between their ambitions and reality. The company's data and software teams focus on creating revolutionary insights, operational strength, and competitive edge. Their expertise lies in software product development, analytics, data science, IoT solutions, and AI. Products, Services & Tech Stack Core Solutions: Software Product Development Analytics Data Science IoT Solutions AI Project Scope & Target Clients Client Base: Target verticals or client types served are not specified. Engineering Scale: Scope and complexity of engineering projects are not specified.
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