Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines for real-time analytics in a fast-growing digital platform.
- Company: Join a rapidly scaling UK-based consumer platform focused on data-driven growth.
- Benefits: Competitive salary, remote work, and clear progression opportunities.
- Other info: Work with cutting-edge technologies and tackle complex data challenges.
- Why this job: Make a real impact on a modern data platform and engineering culture.
- Qualifications: Strong experience in data engineering with advanced Python and SQL skills.
The predicted salary is between 90000 - 100000 £ per year.
This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one.
The Company
They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe.
The Role
- Design, build and own end to end data pipelines supporting real time and batch analytics
- Work on high volume, low latency data use cases with a strong focus on reliability and scalability
- Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control
- Contribute to the design of data models and analytics layers used across the business
- Help implement and mature staging, testing and deployment processes across the data platform
- Collaborate closely with analytics, product and engineering teams to enable better decision making
Your Skills and Experience
- Strong commercial experience as a data engineer in modern, cloud based environments
- Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks
- Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS
- Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg
- Familiarity with orchestration tools such as Dagster or Airflow
- Strong understanding of data modelling concepts and analytics best practice
- A software engineering mindset, including Git, testing and CI/CD workflows
What They Offer
- The chance to help shape a growing data platform and engineering culture
- Clear progression opportunities as the data team continues to expand
- Exposure to complex, real world data challenges at scale
How to Apply
If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.
(197990) AWS Senior Data Engineer in Colchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (197990) AWS Senior Data Engineer in Colchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practise explaining your thought process clearly, as communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team and make an impact in the data world.
We think you need these skills to ace (197990) AWS Senior Data Engineer in Colchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with AWS, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in building data pipelines and working with analytics stacks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention specific tools and methodologies you’ve used that relate to the job description.
Showcase Your Projects: If you’ve worked on any interesting data projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, demonstrating your hands-on experience with modern data tools will set you apart from the crowd.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in AWS and Python. Be ready to discuss your experience with building data pipelines and using tools like S3 and Glue. They’ll want to see that you can handle real-time analytics and understand the importance of reliability and scalability.
✨Show Off Your Collaboration Skills
This role involves working closely with analytics, product, and engineering teams. Prepare examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to better decision-making or improved outcomes, as this will show you’re a great fit for their culture.
✨Demonstrate Your Software Engineering Mindset
Since they value software engineering best practices, be ready to talk about your experience with CI/CD, testing, and version control. Share specific instances where you implemented these practices in your projects, as it will showcase your commitment to quality and efficiency.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data platform and future challenges. This shows your genuine interest in the role and helps you understand how you can contribute. Ask about their current data stack, the tools they use, or how they envision the data team evolving.