At a Glance
- Tasks: Lead a dynamic team in delivering innovative AWS-based data solutions for central government.
- Company: Join a forward-thinking organisation focused on impactful data engineering projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make a difference in public sector data management while enhancing your technical leadership skills.
- Qualifications: Proven experience in data analytics, engineering, and strong AWS skills required.
- Other info: Embrace a diverse and inclusive workplace with a commitment to equality.
The predicted salary is between 48000 - 72000 £ per year.
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. This 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.
The Role
As Tech Lead, you will take ownership of the technical direction and delivery of a small multi-disciplinary team, spanning data engineering, analytics engineering, and DevOps. You will be accountable for solution design, engineering standards, and delivery assurance across an AWS data platform using S3, Glue, and Redshift.
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
Essential experience:
- 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)
- AWS 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, and 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. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Tech Lead - Data Analytics & Data Engineering (AWS) - SC+NPPV3 employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence 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 industry, especially those who have experience with AWS and data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS Glue, Redshift, and data pipelines. 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 data architecture and how you've led teams in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Tech Lead - Data Analytics & Data Engineering (AWS) - SC+NPPV3
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Tech Lead role. Highlight your experience with AWS, data engineering, and analytics. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've led teams or delivered data solutions. We love seeing real examples of your hands-on experience, especially with S3, Glue, and Redshift.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS services like S3, Glue, and Redshift. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real-world problems. Prepare examples that showcase your technical leadership and engineering expertise.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to guide a team. Think of specific instances where you’ve mentored others or led a project. Highlight how you’ve engaged with senior stakeholders and communicated complex technical concepts clearly.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in a regulated environment. Practice articulating your thought process when designing data architectures or optimising performance. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand Security and Compliance
Given the nature of the role, be prepared to discuss security-by-design principles and how you’ve implemented them in past projects. Familiarise yourself with SC and NPPV3 clearance requirements, and be ready to explain how you ensure compliance in your work.