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Opencast

Data Engineer - Senior Consultant

Hybrid - Newcastle, Edinburgh, Glasgow, Leeds, Manchester, Birmingham, Bristol, LondonHybrid · United Kingdom
Senior · Permanent - Employee · Software Delivery
POSTED 6 OCTVERIFIED 1D AGO
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Role
32 days opentrue age
Posted 6 Oct
Pay
£88k–£106kno pay posted
Market p25–p75
£88k–£106k
London · n=4 · 365d to 6 Nov
CompanyOpencast →
25open roles
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1,222open · Senior Data engineering
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PostgreSQLAzureSparkSQL

Ready to build data platforms, not just pipelines?

At Opencast, we believe great data engineering is about more than moving and transforming data. It's about creating reliable, scalable foundations that help organisations make better decisions and deliver better services.

You’ll tackle complex engineering challenges across integration, migration, modelling and platform design, working with Microsoft Fabric, Azure and modern data technologies. We value engineering craft, thoughtful problem-solving and building solutions that are simple, robust and built to last.

Our data engineering capability is growing, and you'll help guide its direction through mentoring, recruitment and technical leadership, as well as your client work. If you want to shape both the solutions and capability around them, this could be the role for you.

The role

Opencast data engineers help organisations transform how they manage, use and learn from data. The work ranges from building modern lakehouse and warehouse platforms in Microsoft Fabric to modernising legacy environments, migrating complex workloads and improving the quality, governance and reliability of critical data services.

This role offers the opportunity to work across the full data lifecycle, combining platform design, engineering, integration and optimisation. Expect to work with structured, semi-structured and unstructured data, building batch and near real-time data pipelines that underpin critical business and public services.

You'll collaborate with architects, analysts, software engineers and client teams to solve complex challenges and influence technical direction. The role also offers opportunities to contribute beyond delivery through mentoring, recruitment, community building and helping to define engineering standards and best practice as our capability continues to grow.

Requirements

This role involves weekly on-site work, and you’ll be required to travel regularly to client locations across the UK. We’re looking for people who value in-person collaboration, enjoy building strong relationships, and are passionate about delivering solutions that make a real difference for our clients.

Due to the nature of this role, you must either hold active Security Check (SC) clearance or be eligible and willing to undergo the clearance process.

SC clearance is granted in line with UK Government security vetting requirements. Typically, applicants must have UK citizenship and have lived continuously in the UK for at least the past five years, with no single absence exceeding 28 consecutive days. Nationality and immigration status may also be considered as part of the vetting process. We are unable to progress applications from candidates who do not meet these requirements.

If you are unsure whether you meet the eligibility criteria, we encourage you to review the guidance or discuss this with us before applying.

We are recruiting for multiple positions, with opportunities available immediately and in the coming months. If you are interested in joining Opencast, we encourage you to apply.

Essential experience

We're looking for engineers who enjoy solving complex technical problems and care about building solutions that are robust, scalable and built to last.

Experience in the following areas is important

Microsoft Fabric and Azure data services, including lakehouse, warehouse, notebooks and pipeline capabilities.

Building enterprise-scale data platforms, lakehouses and data warehouses.

Data modelling and dimensional modelling techniques such as Kimball.

ETL/ELT development and large-scale data integration.

PySpark, Spark SQL and modern transformation techniques.

Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle.

Integrating structured, semi-structured and unstructured data sources.

Migration and modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse.

Power BI semantic models, curated datasets and supporting analytics platforms.

Data quality, governance, metadata management and lineage.

Source · OpencastFirst seen 4 NovOriginal ↗