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- Tasks: Lead a team in building secure AWS data platforms and optimise data processes.
- Company: Join a dynamic central government programme focused on innovative data solutions.
- Benefits: Earn up to £600 per day with flexible hybrid working options.
- Why this job: Make a real impact in data engineering while enhancing your leadership skills.
- Qualifications: Must have SC and NPPV3 clearance, strong AWS skills, and Agile experience.
- Other info: Embrace a diverse and inclusive work culture with excellent career growth opportunities.
This role is for Data Engineering (AWS) with a contract from 1 April 2026 to 30 November 2026, paying £550-£600 per day. Requires SC and NPPV3 clearance, strong AWS skills, and Agile experience.
Location: London, Hybrid (client site as required)
Duration: 1 April 2026 – 30 November 2026
Rate: Up to £600 per day | IR35 Status: Outside IR35 | Clearance: SC and NPPV3 (both essential) | Sector: UK Central Government
About the role
We are seeking an experienced Tech Lead – Data Analytics & Data Engineering to support a central government programme delivering secure, scalable AWS-based data platforms within a highly regulated environment. The engagement is Outside IR35, operating on a project‑based delivery model with a clear focus on outcomes rather than headcount substitution. The role is hands‑on and delivery‑focused, combining technical leadership with deep engineering expertise, working closely with delivery leadership, architects, and senior stakeholders to shape and deliver incremental value across a modern data platform.
Key Responsibilities
- Providing hands‑on technical leadership and mentoring to a small delivery team.
- Designing and delivering data ingestion, transformation, and storage patterns using S3, AWS Glue, and Redshift.
- Owning data architecture decisions, including data modelling, partitioning strategies, and performance optimisation.
- Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability.
- Building and optimising ELT/ETL pipelines using Glue (PySpark), Lambda, Step Functions, and event‑driven patterns.
- Championing security‑by‑design in collaboration with security and assurance teams (IAM, KMS, encryption, auditability).
- Implementing CI/CD pipelines and Infrastructure as Code using Terraform or CloudFormation.
About you
- Active SC and NPPV3 clearance (both required).
- Proven experience as a Tech Lead or Lead Data Engineer across data analytics and data engineering domains.
- Strong hands‑on experience with Amazon S3 (data lake patterns, partitioning, lifecycle management).
- Amazon Glue (Jobs, Crawlers, PySpark, orchestration).
- Amazon Redshift (data modelling, performance tuning, WLM, Spectrum).
- Advanced Python (PySpark) and SQL skills.
- Experience implementing CI/CD pipelines and Infrastructure as Code.
- Proven ability to engage senior stakeholders and clearly communicate technical trade‑offs.
- Experience working in Agile delivery environments.
Nice to have
- Experience with AWS Lake Formation, Lambda, Step Functions, Athena, EMR, DataBrew.
- Familiarity with data quality, lineage, or observability tooling.
- Knowledge of GDS ways of working and public sector delivery frameworks.
- Experience with privacy‑by‑design, data retention, FOIA considerations.
- Exposure to dbt, Redshift RA3, or AQUA acceleration.
Reasonable Adjustments
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. If you need any help or adjustments during the recruitment process for any reason, please let us know so we can support you.
Tech Lead - Data Analytics & Data Engineering (AWS) - SC+NPPV3 employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead - Data Analytics & Data Engineering (AWS) - SC+NPPV3
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and analytics space. Attend meetups or webinars related to AWS and data platforms. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, data ingestion, and transformation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AWS Glue, Redshift, and CI/CD pipelines. Practice explaining complex concepts in simple terms to engage senior stakeholders.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Tech Lead - Data Analytics & Data Engineering (AWS) - SC+NPPV3
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience with AWS and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: Since this role is all about technical leadership, be sure to emphasise your hands-on experience with tools like S3, Glue, and Redshift. We love seeing specific examples of how you've used these technologies in past projects.
Communicate Clearly: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when it comes to explaining technical concepts or trade-offs you've encountered in your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Data Freelance Hub
✨Know Your AWS Inside Out
Make sure you brush up on your AWS skills, especially around S3, Glue, and Redshift. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've successfully guided teams in the past, focusing on your approach to technical leadership and fostering collaboration.
✨Understand Agile Methodologies
Since this role requires experience in Agile environments, be prepared to discuss your familiarity with Agile practices. Share specific instances where you've contributed to Agile projects, highlighting your role in delivering incremental value.
✨Communicate Technical Trade-offs Clearly
You’ll need to engage with senior stakeholders, so practice explaining complex technical concepts in simple terms. Think about how you can convey the benefits and drawbacks of different architectural decisions, especially regarding data security and performance optimisation.
