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- Tasks: Lead the development of innovative data solutions and maintain critical data pipelines.
- Company: Join JPMorgan Chase, a leader in corporate technology and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a meaningful impact while working with cutting-edge data technologies.
- Qualifications: Experience in Data Engineering, SQL, and cloud platforms like AWS.
- Other info: Be part of a diverse team that values inclusion and respect.
The predicted salary is between 43200 - 72000 £ per year.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of a cutting edge team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:- Generates data models using firmwide tooling, statistics, and algorithms
- Works alongside other Data Engineers and stakeholders to develop data extraction and transformation pipelines
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Works with key stakeholders to understand key data requirements
- Designs and implements data solutions, with effective access control and security
- Designs and implements data visualisation solutions with a focus on User Experience
- Adds to team culture of diversity, equity, inclusion, and respect
- Formal training or certification on Data Engineering concepts and proficient advanced experience
- Self motivated and driven; capable of managing deliverables as an individual contributor
- Experience and proficiency across the data lifecycle
- Advanced at SQL (e.g., joins and aggregations)
- Working understanding of Cloud platforms e.g. AWS
- Adept at working with stakeholders to develop a cohesive business requirement that can create testable outcomes
- Experience working with Big Data; Data Lakes, Data Warehouses, Lakehouses
- Proficient in Databricks and Python, including concurrency and error handling
- Experience working with ETL tools
- Data visualisation tools
- AWS, Lambdas, Terraform
- Java
- Front end development
- User Experience skills
- Snowflake, Data modelling
- Experience working in large scale, global, highly regulated institutions
Lead Data Engineer in Bournemouth employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, pipelines, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your experience with SQL, cloud platforms, and data visualisation tools, as these are hot topics in the industry.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Lead Data Engineer in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant cloud platforms like AWS. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your unique skills can help us achieve our goals. Don't forget to mention your experience with data visualisation and working with stakeholders.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you tackle challenges.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be part of our journey towards creating a brighter future together. Let’s make a meaningful difference!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering concepts, especially around SQL, ETL tools, and cloud platforms like AWS. Be ready to discuss your experience with data pipelines and how you've tackled challenges in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with stakeholders, be prepared to share examples of how you've collaborated with others to develop data solutions. Highlight any experiences where you’ve successfully gathered requirements and delivered results.
✨Demonstrate Your Problem-Solving Abilities
Think of specific instances where you've solved complex data issues or improved processes. Be ready to explain your thought process and the impact of your solutions on the business objectives.
✨Emphasise User Experience in Data Visualisation
As a Lead Data Engineer, you'll need to design data visualisation solutions. Prepare to discuss your approach to user experience and how you've ensured that your data presentations are both effective and user-friendly.
