At a Glance
- Tasks: Design and build cutting-edge data infrastructure for analytics and AI.
- Company: Leading data business with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting projects with global clients and a supportive work culture.
- Why this job: Join a dynamic team and shape the future of data technology.
- Qualifications: 6+ years in Data Engineering, strong AWS and coding skills.
The predicted salary is between 60000 - 80000 € per year.
Breakthrough Talent is currently supporting a leading data business build a brand new data platform to support a modern data mesh organisation. They work with national and global clients across data, software and digital consulting, and they are now looking for a Data Infrastructure Engineer to help build and scale their next generation platform. This role suits someone who enjoys owning infrastructure, building reusable solutions, and supporting data teams with analytics and AI ready environments.
As a Data Engineer you will design, build and maintain the core infrastructure that enables data processing, analytics, data science and data management across the business. You will work in a multi account and multi region AWS environment that follows zero trust and least privilege principles. Infrastructure as Code and CI CD will be central to how you operate, alongside continuous improvement and strong governance.
What You Will Do
- Build and maintain cloud based infrastructure using Cloud Formation and SAM
- Design and implement data processing environments using AWS services such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake
- Build data processing pipelines using Python, SQL, PySpark, Spark, Lambda, Step Functions and Apache Airflow
- Monitor performance, cost and security of the data platform
- Apply strong data governance and access control for sensitive data
- Collaborate with multiple teams to support the wider data platform strategy
What You Need
- Six years or more experience in a Data Engineering or Data Infrastructure role
- Strong experience building data architectures in AWS using native services including S3, DataZone, Glue, EMR, Sagemaker, Aurora and Redshift
- Solid coding skills in Python and SQL
- Strong Cloud Formation knowledge
- Experience working with relational databases such as Postgres or Redshift
- Good coding discipline including documentation, unit testing and version control
- Experience with Git and CI CD tools such as GitLab
- Worked in Agile teams and ceremonies
- Strong problem solving skills and excellent communication
Nice to Have
- Experience with Jira or similar project management tools
- Experience with Snowflake
- Spatial data processing experience
If you would like to learn more about the role, please reach out to Jake Denman at Breakthrough Talent.
Data Engineer in London employer: Breakthrough Talent
Breakthrough Talent is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of data engineering. With a focus on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects in a supportive environment. Located in a vibrant area, our team enjoys a flexible work-life balance and the chance to make a meaningful impact on national and global clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS services and data processing pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with tools like Cloud Formation and CI/CD.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS services and coding skills in Python and SQL. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific projects where you've built data architectures or worked with cloud-based infrastructure. We love seeing real examples of your work, especially if they demonstrate your problem-solving skills and coding discipline.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention your experience with CI/CD and Infrastructure as Code, as these are key to our operations.
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 any important updates from us!
How to prepare for a job interview at Breakthrough Talent
✨Know Your Tech Stack
Make sure you’re well-versed in the specific AWS services mentioned in the job description, like Glue, EMR, and Sagemaker. Brush up on your Python and SQL skills too, as you'll likely be asked to demonstrate your coding abilities during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your solutions benefited the team or project.
✨Understand Infrastructure as Code
Since this role emphasises Infrastructure as Code, be ready to talk about your experience with Cloud Formation and CI/CD practices. You might even be asked to explain how you would set up a data processing environment from scratch.
✨Communicate Effectively
Strong communication is key, especially when collaborating with multiple teams. Practice explaining technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
