At a Glance
- Tasks: Design and maintain high-throughput data pipelines using Apache Spark and AWS tools.
- Company: Join Korn Ferry, a leader in unleashing potential in people and organisations.
- Benefits: Competitive daily rate, hybrid working model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and 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 Apache Spark and AWS.
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
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Korn Ferry!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer | Hybrid Birmingham at Korn Ferry.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Korn Ferry.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer | Hybrid Birmingham at Korn Ferry, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer | Hybrid Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Korn Ferry, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Korn Ferry. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Korn Ferry
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Korn Ferry!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
