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Senior Data Engineer (Microsoft Fabric & Azure Data Platform)
Not disclosed
Salary
Not disclosed by employer
£54,900
Going rate
Skilled Worker going rate
This role may qualify for a Skilled Worker visa
SOC 2133 is an eligible occupation, but we classified this role with low confidence (44% match). If the code is right — and Acuity Analytics is a licensed sponsor — it should qualify, but double-check the occupation eligibility rules against the actual role.
About the role
Please note: for this role, you must be based in UK, Malta, Bulgaria, or Portugal.
The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in.
About Us
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 organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the Role
We're looking for a Senior Data Engineer to design, build and optimise modern data platforms using the Microsoft Azure ecosystem. You'll develop scalable data pipelines, transform complex datasets, and help organisations unlock the value of their data through Microsoft Fabric, Databricks and Azure services.
Working within a collaborative engineering team, you'll contribute to cloud-native data solutions, ensuring performance, scalability and best practices across enterprise data platforms.
Responsibilities
- Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse.
- Develop ETL/ELT solutions using PySpark and SQL.
- Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric.
- Design scalable lakehouse and data warehouse solutions.
- Optimise data performance, reliability and quality across cloud platforms.
- Collaborate with data scientists, analysts and software engineers to deliver business solutions.
- Implement data governance, security and best practices.
Requirements
- Strong commercial experience as a Data Engineer (5+ years).
- Strong experience with PySpark.
- Advanced SQL skills.
- Experience with Microsoft Fabric, Azure Databricks and/or Azure Synapse Analytics.
- Experience building data pipelines using Azure Data Factory (ADF), Synapse Pipelines or Microsoft Fabric Data Factory.
- Experience working with cloud-based data platforms.
- Excellent problem-solving and communication skills.
Nice to Have
- Power BI
- Graph Database experience
- Node.js
- REST API development
- LLM / Generative AI experience
- Data Science experience
Certifications (Preferred)
The following certifications are advantageous but not essential:
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
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. Check out this page for more details
This description is the source posting as it read when we added it. We are not affiliated with Acuity Analytics, so check their own site for the current details.
Where this offer sits in the market
SOC 2133 · UK · ONS ASHE 2025 · ~163k in sampleSimilar sponsored roles
See all jobsNo close matches live right now.
Browse more sponsored jobs at Acuity AnalyticsAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Acuity Analytics holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2133 going rate of £54,900. New-entrant and shortage discounts can lower it.