Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Engineering Team Leader

Milton Keynes
2 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Geospatial Data Engineer

Senior Data Engineer

Senior Analytics Data Engineer – Snowflake & DBT (Contract)

Principle Data Engineer

Senior Data Engineer

Senior Cloud Data Engineer

Senior Engineering Team Leader – Enterprise Software Solutions

We have an exciting opportunity for a Senior Engineering Team Leader to join a fast-growing software company developing innovative enterprise platforms used by major organisations in the UK and internationally. Their technology helps streamline complex operations, improve customer experiences, and support large-scale service delivery. This is a hands-on leadership role where you’ll combine people management with technical delivery, taking the lead on architecture, coding, and innovation while supporting the professional development of your team.

Location: Hybrid – Milton Keynes (2–3 days per week on-site)
Salary: £65,000 – £75,000 + benefits + bonus

Requirements for Senior Engineering Team Leader

  • Strong commercial experience in a senior engineering or team leadership role

  • Excellent organisational and communication skills, with the ability to engage both technical and non-technical stakeholders

  • Proven ability to deliver projects from inception to completion while maintaining high technical standards

  • Adaptability to new tools, technologies, and methodologies

  • Solid technical skills in:

    • .NET (C#)

    • Unit & integration testing

    • CI/CD pipeline development (GitHub or similar)

    • AWS services (IAM, Lambda, API Gateway)

    • Angular, REST APIs, Web API development

    • SpecFlow (BDD), Postman, OpenAPI

    • MS SQL Server (SQL) & MongoDB (NoSQL)

    • Docker

  • Experience with CQRS and Event Bus architecture is highly desirable

    Responsibilities for Senior Engineering Team Leader

  • Lead, mentor, and support a team of engineers, driving both technical and personal development

  • Oversee architectural design and code reviews, ensuring high standards and consistency

  • Plan and deliver work in line with Scaled Agile Framework (SAFe) principles

  • Embed robust quality assurance practices to improve reliability and performance

  • Collaborate with developers, product managers, and stakeholders to deliver software that meets business needs

  • Contribute hands-on to coding, architecture, and problem-solving

    What the role offers:

  • A supportive, people-focused culture with excellent training, career development, and performance-related bonus opportunities

  • Competitive benefits package including 25 days holiday + bank holidays, 2 wellbeing days, Christmas shutdown, and flexible perks such as private healthcare, life assurance, and retail discounts

  • 5% company pension contribution, modern hybrid working, and the chance to work on impactful, industry-leading technology

    Applications
    If you’d like to apply for this exciting Senior Engineering Team Leader role, please send your CV via the relevant links.

    We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the interview process, please email (if removed by the job board, our contact details are on our website).

    Keywords – Senior Engineering Manager / Software Engineering Lead / Technical Team Lead / Development Manager / Engineering Manager / Lead Software Engineer / Platform Engineering Lead / .NET Developer / AWS Developer / Solutions Architect / .NET / C# / AWS / Angular / REST APIs / MongoDB / Docker / CI/CD / MS SQL Server / Scaled Agile / BDD / CQRS / Event-Driven Architecture / Computer Science / Software Engineering / Information Technology

    RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see other opportunities.

    We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

Pre-Employment Checks for Data Engineering Jobs: DBS, References & Right-to-Work and more Explained

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.