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For Companies At a Glance
- Tasks: Design and optimise complex data pipelines for a leading global bank.
- Company: Join a renowned bank known for its innovation in financial services.
- Benefits: Enjoy flexible working options and a dynamic work environment.
- Why this job: Be part of a team that influences architectural decisions and drives impactful solutions.
- Qualifications: Deep experience in data engineering, especially with Databricks and cloud platforms like AWS.
- Other info: Ideal for those with a passion for big data and financial products.
The predicted salary is between 43200 - 72000 £ per year.
Your new company
Working for a globally renowned bank.
Your new role
Seeking an experienced Data Engineer to design, build, and optimise this bank\’s complex data pipelines and big data infrastructure. You will have deep experience working as a data engineer and architecting scalable data solutions/ optimising data processing systems. This role requires both technical excellence and the ability to influence architectural decisions that align with business objectives.
What you\’ll need to succeed
- Deep experience working as a data engineer (within big consultancies or financial services).
- Great expertise in designing/ building/ implementing complex data pipelines.
- Vast experience with Databricks.
- Strong knowledge of distributed computing frameworks e.g Spark, Hadoop ecosystem.
- Highly experienced with cloud-based data platform AWS.
- Solid programming skills with Python, Spark.
- Demonstrated ability to engineer/ architect solutions for Big Data.
- Experienced with defining target architecture.
- Financial product knowledge e.g. assets, bonds, swaps would be desirable.
What you\’ll get in return
Flexible working options available.
What you need to do now
If you\’re interested in this role, click \’apply now\’ to forward an up-to-date copy of your CV, or call us now.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C\’s, Privacy Policy and Disclaimers which can be found at hays.co.uk
Senior Data Engineer (Databricks, Financial Services) employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Databricks, Financial Services)
✨Tip Number 1
Make sure to showcase your experience with Databricks prominently. Highlight specific projects where you've designed or optimised data pipelines using this platform, as it’s a key requirement for the role.
✨Tip Number 2
Familiarise yourself with the financial services sector, especially products like assets, bonds, and swaps. Being able to speak knowledgeably about these topics during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with distributed computing frameworks such as Spark and the Hadoop ecosystem. Be ready to provide examples of how you've used these technologies to solve complex data challenges.
✨Tip Number 4
Demonstrate your cloud expertise, particularly with AWS. Share specific instances where you've architected solutions on cloud platforms, as this will show your capability to handle the bank's big data infrastructure.
We think you need these skills to ace Senior Data Engineer (Databricks, Financial Services)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly in financial services. Emphasise your expertise with Databricks and any relevant projects that showcase your ability to design and implement complex data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Mention your familiarity with distributed computing frameworks like Spark and Hadoop, and how your background aligns with the bank's objectives.
Showcase Technical Skills: In your application, clearly outline your programming skills, especially in Python and Spark. Provide examples of how you've used these skills to engineer solutions for Big Data in previous roles.
Highlight Financial Knowledge: If you have experience with financial products such as assets, bonds, or swaps, make sure to include this in your application. This knowledge can set you apart from other candidates and demonstrate your understanding of the industry.
How to prepare for a job interview at Hays
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Databricks and other relevant technologies like Spark and AWS. Highlight specific projects where you've designed or optimised data pipelines, as this will demonstrate your technical prowess.
✨Understand Financial Products
Familiarise yourself with financial products such as assets, bonds, and swaps. Being able to speak knowledgeably about these topics will show that you understand the business context of your role and can align your technical skills with the bank's objectives.
✨Prepare for Architectural Discussions
Since the role involves influencing architectural decisions, be ready to discuss your approach to defining target architecture. Think about how you can balance technical requirements with business needs, and prepare examples from your past experiences.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities, especially in relation to big data challenges. Prepare to share specific instances where you've successfully tackled complex issues in data engineering, showcasing your analytical thinking and creativity.