At a Glance
- Tasks: Design and optimise data pipelines using cutting-edge technologies in a hybrid work environment.
- Company: Join Korn Ferry, a leader in unleashing potential in people and organisations.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact in the financial sector while working with AI/ML initiatives.
- Qualifications: 5+ years in Data Engineering with strong skills in Java, Scala, and AWS.
The predicted salary is between 72000 - 88000 £ per year.
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.
5+ years of commercial Data Engineering 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.
- 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.
To learn more, please visit Korn Ferry at www.
- Kornferry. com
- #J-18808-Ljbffr
Data Engineer - Databricks | AWS |Snowflake 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 - Databricks | AWS |Snowflake
✨Get Involved in Data Science Meetups
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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 - Databricks | AWS |Snowflake at Korn Ferry.
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We think you need these skills to ace Data Engineer - Databricks | AWS |Snowflake
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!
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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.
