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- Tasks: Design and deliver scalable data solutions using Big Data technologies.
- Company: Join a renowned financial services organisation with a focus on innovation.
- Benefits: Enjoy flexible working options and a dynamic work environment.
- Why this job: Make an impact by modernising data processes in the financial sector.
- Qualifications: Expertise in Big Data technologies and experience in financial services required.
- Other info: Opportunity to work on strategic initiatives and enhance your career.
The predicted salary is between 36000 - 60000 £ per year.
Working for a renowned financial services organisation.
We're looking for a Senior Data Engineer to design and deliver scalable on-prem, high-quality data solutions for low/high-level data platforms that power analytical and business insights. This is a hands-on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services. Joining a leading commodities, metals, trading, and exchange group, you will support a strategic metals initiative focused on reducing on-prem platform costs and modernising legacy ETL processes.
You'll help design and build a new on-prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing to a robust, scalable, and resilient enterprise data ecosystem.
What you'll need to succeed:
- Vast Data Engineering expertise with Big Data technologies.
- Experience designing and building on-prem data platforms, from high-level architecture to detailed technical design.
- Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning.
- Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools.
- Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB.
- Proven delivery of streaming pipelines and real-time data processing solutions.
- Improved job efficiency and reduced runtimes through Apache Spark optimisation and development.
- Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines.
- Delivered streaming pipelines and real-time data processing solutions.
- Experience replacing legacy ETL tools (e.g., Informatica) with modern data engineering pipelines and platform builds.
- Proven background working within financial services environments.
What you'll get in return:
Flexible working options available.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
Senior Data Engineer (Big Data/ Hadoop/ Spark) (Banking) employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Big Data/ Hadoop/ Spark) (Banking)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Engineer role. 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! Prepare a portfolio showcasing your past projects, especially those involving Hadoop, Spark, and data pipelines. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Ace the interview! Research common interview questions for data engineering roles and practice your responses. Be ready to discuss your hands-on experience with multi-node Hadoop clusters and real-time data processing solutions to impress the hiring managers.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application more efficiently.
We think you need these skills to ace Senior Data Engineer (Big Data/ Hadoop/ Spark) (Banking)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Big Data technologies and any relevant projects you've worked on in financial services. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with Hadoop, Spark, and any other tools listed in the job description. We love seeing specific examples of how you've used these technologies to solve problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our metals initiative. We appreciate a personal touch that shows us who you are beyond your CV.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Hays Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Big Data technologies mentioned in the job description, like Hadoop and Spark. Brush up on your hands-on experience with multi-node Hadoop clusters and be ready to discuss how you've optimised Apache Spark for better performance.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering, especially in financial services. Think about times when you replaced legacy ETL tools or improved job efficiency, and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific commodities or trading areas relevant to the role. This will help you connect your technical skills to the business needs and demonstrate that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the metals initiative. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
