At a Glance
- Tasks: Design and maintain high-throughput data pipelines using cutting-edge tools like Apache Spark.
- Company: Join Korn Ferry, a leader in unleashing potential for individuals and organisations.
- Benefits: Earn up to £530 per day with hybrid working and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams in a dynamic environment focused on innovation.
- Why this job: Make an impact by enabling AI-driven data ecosystems and advanced analytics.
- Qualifications: 5+ years of data engineering experience and strong skills in AWS and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Role: Data Engineer
IR35 determination: Inside IR35
Location: Birmingham
Working model: Hybrid 3 days on site each week
Rate: up to £530 per day
Responsibilities
- Design, implement, and maintain high-throughput data pipelines using Apache Spark and cloud-native tools
- Develop ETL/ELT workflows for managing structured and unstructured data in AWS cloud environments
- Collaborate with AI/ML teams to enable data platforms for Generative AI and advanced analytics use cases
- Ensure compliance with data quality, governance, and monitoring best practices across all integrations
- Enable data lakehouse architectures that support scalability, resilience, and flexible analytics
- Write optimized SQL queries and scalable code in Java or Scala, ensuring performance efficiency in large datasets
- Apply security principles and operational guidelines to deliver secure, highly available solutions
- Partner with cross-functional engineering teams to improve automation, data observability, and platform reliability
- Troubleshoot complex data processing issues within distributed systems and production environments
- Contribute to continuous improvement strategies for AI-ready data pipelines and analytics enablement
Requirements (Must Have Skills)
- 5+ years of data engineering experience building high-performing and large-scale data solutions
- Hands-on expertise in Apache Spark development using Java or Scala (Python experience considered)
- Strong proficiency in AWS cloud services (S3, EMR, Glue, IAM, etc.) and cloud-native architecture principles
- Advanced SQL development skills for performance-critical data transformations
- Practical knowledge of ETL/ELT pipelines, data modeling, and lakehouse design in an enterprise environment
- Familiarity with Generative AI or AI/ML workflows and experience enabling AI-driven data ecosystems
- Solid understanding of data governance, quality, security standards, and operational resiliency
Nice to Have Skills
- Hands-on experience with Databricks and/or Snowflake, ideally within modern cloud data platforms
- Financial services domain experience, with exposure to data compliance frameworks
- Familiarity with observability tools, automation practices, and modern DevOps principles in data workflows
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers.
Data Engineer | Hybrid Birmingham employer: Korn Ferry
Korn Ferry Project Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, we provide opportunities to lead impactful projects in cyber security while enjoying competitive compensation and the flexibility of outside IR35 contracts. Our inclusive culture fosters teamwork and encourages professional advancement, making it an ideal place for those looking to make a meaningful contribution in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Hybrid 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 Korn Ferry 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 Korn Ferry.
✨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 Korn Ferry.
We think you need these skills to ace Data Engineer | Hybrid Birmingham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Korn Ferry, 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 Korn Ferry, 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 Korn Ferry’s attention and show the tangible impact of your work.
How to prepare for a job interview at Korn Ferry
✨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 Korn Ferry.
✨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 Korn Ferry.
✨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 Korn Ferry.
