At a Glance
- Tasks: Design and optimise cloud-based data platforms using AWS and Python.
- Company: Join Triad Group, an award-winning digital consultancy with a supportive culture.
- Benefits: Enjoy competitive salary, 25 days leave, private healthcare, and continuous training.
- Why this job: Make a real impact on meaningful projects while working with cutting-edge technology.
- Qualifications: Experience in data engineering, AWS, and strong Python skills required.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 52000 - 78000 £ per year.
Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to £65k plus company benefits.
About Us
Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years’ experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you’re valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you’ll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you’re passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you.
Role Summary
Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS.
- Create and manage data models that support efficient storage, retrieval, and analysis of data.
- Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions.
- Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure.
- Develop, optimise and maintain robust data pipelines using Apache Airflow.
- Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use.
- Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements.
- Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability.
- Identify data quality issues and implement data validation and cleansing processes.
- Maintain clear and comprehensive documentation covering data pipelines, models, and best practices.
- Work within a continuous integration environment with automated builds, deployments, and testing.
Skills and Experience
- Strong experience designing and building data pipelines on cloud platforms, particularly AWS.
- Excellent proficiency in developing ETL processes and data transformation workflows.
- Strong SQL skills (PostgreSQL) and advanced Python coding capability (essential).
- Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential).
- Understanding of Terraform codebases to create and manage AWS infrastructure.
- Experience developing, optimising, and maintaining data pipelines using Apache Airflow.
- Familiarity with distributed data processing systems such as Spark or Databricks.
- Experience working with high-performing, low-latency, or large-volume data systems.
- Ability to collaborate effectively within cross-functional, agile, delivery-focused teams.
- Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy.
Qualifications & Certifications
- A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable).
- Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK.
Triad’s Commitment to You
- Continuous Training & Development: Access to top-rated Udemy Business courses.
- Work Environment: Collaborative, creative, and free from discrimination.
- 25 days of annual leave, plus bank holidays.
- Matched pension contributions (5%).
- Private healthcare with Bupa.
- Gym membership support or Lakeshore Fitness access.
Other Information
Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Senior Data Engineer (AWS, Airflow, Python) in Milton Keynes employer: Triad Group Plc
Contact Detail:
Triad Group Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (AWS, Airflow, Python) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their tech stack, especially AWS and Airflow, so you can speak confidently about how your skills align with their needs.
✨Tip Number 3
Showcase your work! Create a portfolio or GitHub repository with examples of your data pipelines and projects. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Triad.
We think you need these skills to ace Senior Data Engineer (AWS, Airflow, Python) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, Airflow, and Python, and don’t forget to showcase any relevant projects that demonstrate your skills in building data pipelines.
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 Triad’s mission. Be sure to mention specific technologies and experiences that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and creatively about data solutions, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Triad Group Plc
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services like S3, EC2, and Lambda, as well as tools like Apache Airflow and Terraform. Brush up on your Python skills too, especially for data transformation tasks. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed scalable data pipelines or improved data quality. This will demonstrate your ability to contribute to meaningful, data-driven outcomes at Triad.
✨Understand the Company Culture
Triad values collaboration and creativity, so be ready to discuss how you work within cross-functional teams. Share experiences that highlight your ability to communicate effectively and support a positive team environment. This will help you connect with the interviewers on a cultural level.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s projects. Inquire about their approach to data architecture or how they foster innovation within teams. This shows your genuine interest in the position and helps you assess if Triad is the right fit for you.