At a Glance
- Tasks: Design and build cloud-based 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 required.
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.
The Role
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 employer: Breakthrough Talent
Breakthrough Talent is an exceptional employer, offering a dynamic work environment where innovation thrives. As a Data Engineer, you will be part of a forward-thinking team dedicated to building cutting-edge data solutions for a diverse range of clients. With a strong emphasis on employee growth, collaborative culture, and the opportunity to work with the latest technologies in a multi-region AWS environment, this role promises not only meaningful work but also a chance to advance your career in the rapidly evolving data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS services and data processing. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've used tools like Python, SQL, and AWS services to solve real-world problems.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer
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 data architectures, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Coding Skills:Since coding is a big part of this role, include examples of your Python and SQL work. If you’ve built data pipelines or used tools like Apache Airflow, let us know! We love seeing practical applications of your skills.
Highlight Collaboration Experience:This role involves working with multiple teams, so share any experiences where you collaborated effectively. Mention Agile methodologies or any project management tools you've used, like Jira. We value teamwork and communication!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through. Let’s build something amazing together!
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 engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you approached problems and what solutions you implemented.
✨Understand Infrastructure as Code
Since the 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, so having a clear understanding of these concepts is crucial.
✨Communicate Effectively
Strong communication skills are 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.
