Senior Data Engineer

Salary: £59,400 - £78,800 with an average of £5,750- £11,250 in profit share.

Softwire is one of the UK’s leading digital technology consultancies, offering services in data, AI, cloud, CX, innovation, design and software engineering. We deliver high-profile, mission critical, and transformational projects for household names across the public and private sectors.

Softwire was founded on one simple idea: be the outstanding place to work for smart, passionate technologists who want to make an impact. Attract the best, create a culture where people thrive, and offer our customers access to capabilities that are truly market leading.

We’re looking for exceptional Senior Data Engineers with deep expertise in data architecture and engineering, a strong track record of technical leadership, and the ability to collaborate closely with client stakeholders and translate business requirements into tangible outcomes.

You’ll join a high-calibre team and be expected to operate with autonomy, shape technical direction, and provide meaningful mentorship to more junior engineers. This is a role for someone who thrives at the intersection of engineering excellence and client influence.

As a Senior Data Engineer you’ll take a leading role across complex, multi-stakeholder engagements, working alongside Technical Leads, Architects, and client teams. You will own the technical quality of data solutions end-to-end, across a range of sectors and technologies.

You might:

• Lead the data architecture and modelling for Moorfields Eye Hospital’s INSIGHT programme, defining standards and guiding the team to support pioneering ophthalmic research.
• Own the technical strategy for data pipelines, cloud infrastructure, and dashboards on Elexon’s Azure platform, driving reliability and performance at the heart of Britain’s electricity market.
• Define the end-to-end solution design for a financial services company migrating legacy Excel workflows into a modern cloud-native scheduler, accountable for technical risk and stakeholder sign-off.
• Lead data modelling and advisory work for a civil service department replacing a legacy HR system, acting as the senior technical voice in client engagements.
• Architect and lead the delivery of an AI transcription service for the BBC using GenAI, shaping both the technical approach and team execution.

Experience and qualifications:

• You have 5+ years’ experience in a data engineering, software engineering or similar relevant context, with a demonstrable track record of delivering at senior or lead level.
• You have strong hands-on experience across several of our core technologies, including Python, SQL, Databricks, Snowflake, Fabric, and major cloud platforms (AWS/Azure/GCP), and can credibly advise clients on technology choices.
• You bring deep pattern recognition from prior projects and can rapidly assess unfamiliar tech stacks, client environments, and sectors, getting to grips quickly and providing sound technical guidance from the outset.
• You have a deep understanding of data engineering best practice, including data modelling, pipeline design, data governance, data infrastructure & security, testing, and observability, and are confident setting standards and making architectural decisions on complex, ambiguous projects.
• You are an exceptional communicator, able to translate complex technical concepts for senior stakeholders, build trust with clients at all levels, and represent Softwire with credibility and confidence.
• You are outcome-focused and have a strong track record of driving delivery across complex, multi-team engagements, holding yourself and others to high standards to ensure genuinely high-impact results for clients.
• You actively shape the technical direction of your team, leading on architecture, data modelling, technical design, and client interactions and take genuine ownership of the growth and performance of more junior engineers.

Your Approach:

• You are deeply passionate about leveraging technology to deliver outstanding outcomes for clients and end users, and you stay current with the data and AI landscape to bring fresh thinking to every engagement.
• You set a high bar for technical quality and delivery rigour not just in your own work, but in the standards you embed across the team and the practices you champion with clients.
• You drive meaningful improvements in your clients’ technical maturity, bringing a strategic, advisory mindset that balances long-term engineering ambition with pragmatic business realities.
• You are a natural collaborator who energises those around you creating an environment where engineers do their best work and feel challenged, supported, and invested in shared success.
• You bring a solutions-first mindset to cross-functional collaboration working with developers, product owners, and architects to shape technically excellent, commercially astute solutions that genuinely meet client needs.
• You thrive in ambiguous, fast-paced environments able to bring structure and clarity to complex problems and provide a steady, authoritative technical hand when it matters most.

Package:

Softwire operates transparent pay scales and a profit share scheme based on role and overall company performance. Base salary from £59,400 – £78,800 depending on your background and how many years of relevant experience you have. You can expect to receive a profit share depending on your experience and company performance. Over the last four years, this ranged between £5,750- £11,250.

Pension: Additional 5% of salary.

Additional benefits:

• 25 days annual leave (with the option to buy and sell).
• Flexible work options (e.g. working from home 2dpw; 4-day working contract).
• Time off for company-wide morale activities, time off for charitable / CSR activities.
• Income protection, cycle to work, electric vehicle lease schemes, and payroll charity donations.

We are there for our clients and colleagues when needed. On average our teams do this working in person 3 days a week. We welcome applications from those with additional needs or caring responsibilities, and will look at where adaptations can support success in the role.