At a Glance
- Tasks: Design and optimise data pipelines in a cutting-edge AWS environment.
- Company: Join a major enterprise tech programme in the financial services sector.
- Benefits: Competitive daily rate, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovative data solutions and career advancement.
- Why this job: Be at the forefront of AI/ML initiatives and make a real impact.
- Qualifications: 5+ years in Data Engineering with strong skills in Apache Spark, Java, and AWS.
The predicted salary is between 72000 - 88000 £ per year.
Contract
Initial 12 months
Rate
Up to £475 per day - Inside IR35
Location
Birmingham
Working Pattern
- Hybrid - 3 days per week onsite at Birmingham office
- We are looking for an experienced
Senior Data Engineer to join a major enterprise technology programme within the financial services sector.
You will be responsible for designing, building and optimising large-scale data pipelines and distributed processing solutions within an
AWS environment . The role will also support modern AI/ML and Generative AI initiatives by developing scalable, secure and reliable data platforms.
Key Responsibilities
- Design, build and maintain high-throughput data pipelines using Apache Spark and cloud-native technologies.
- Develop scalable ETL/ELT workflows for structured and unstructured datasets.
- Build and optimise data-processing solutions within AWS environments.
- Develop performant solutions using Java or Scala alongside advanced SQL.
- Support modern data lake and lakehouse architectures.
- Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases.
- Implement appropriate data quality, governance, security and monitoring standards.
- Troubleshoot complex data-processing and distributed-system issues within production environments.
Essential Experience
5+ years of commercial Data Engineering experience.
- Strong hands-on Apache Spark development experience.
- Strong programming experience with Java and/or Scala.
- Strong AWS experience, ideally including technologies such as S3, EMR, Glue and IAM.
- Advanced SQL development skills.
- Strong experience designing and developing ETL/ELT pipelines.
- Experience working with large-scale and distributed data-processing environments.
- Databricks and/or Snowflake.
- #J-18808-Ljbffr
Data Engineer in Birmingham employer: Ports North
Ports North offers a dynamic and supportive work environment for the Interim Head of Claims Operations, where you can make a significant impact on a dedicated team. With a focus on professional development and performance-driven culture, employees are encouraged to grow their skills while contributing to meaningful improvements in claims operations. The remote working arrangement in Germany provides flexibility, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Ports North before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Ports North.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Ports North.
We think you need these skills to ace Data Engineer in Birmingham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Ports North, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Ports North, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Ports North’s attention and show the tangible impact of your work.
How to prepare for a job interview at Ports North
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Ports North.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Ports North.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Ports North.
