At a Glance
- Tasks: Design and optimise SQL queries, develop stored procedures, and modernise legacy applications.
- Company: Join Intercontinental Exchange, a leader in global capital and derivative markets.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make an impact on global markets with cutting-edge technology and data solutions.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with Snowflake.
The predicted salary is between 56700 - 69300 £ per year.
At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets.
With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally.
By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets., ICE is seeking a Senior Data Engineer who will be responsible for design and optimise SQL queries, develop stored procedures, and participate in the migration and modernisation of legacy applications to support ICE Derivatives and ICE Mortgage.
- The candidate should have a strong background in SQL and scripting.,
- Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines.
- Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads.
- Builds and maintains robust data pipelines to support reporting, analytics, and application data needs.
- Creates and maintains Snowflake objects like tables, views, streams, tasks, file formats, and external stages.
- Participates in project meetings with data engineers, analysts, business users, and product owners to understand and implement technical requirements.
- Writes technical design documentation based on business requirements and data architecture principles.
- Develops and/or reviews unit testing protocols for SQL scripts, procedures, and data pipelines using automation frameworks.
- Completes documentation and procedures for pipeline deployment, operational handover, and monitoring.
- May mentor or guide junior developers and data engineers.
- Enable real-time and batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation.
- Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns.
- Stays current with Snowflake features, best practices, and industry trends in cloud data platforms.
- Performs additional related duties as assigned.
- 5+ years of professional experience in data engineering or database development.
• Strong Hands-on experience
- Writing complex SQL queries and stored procedures
- Database stored procedures, functions, views, and schema design
- Using Streams, Tasks, Time Travel, and Cloning
- Proficiency in database performance tuning and performance optimisation - clustering, warehouse sizing, caching, etc.
- Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).
- Experience writing Python/Shell scripts for data processing.
- Expert knowledge of Snowflake (Tidal is an added advantage).
- Proficiency in using Git and working within Agile/Scrum SDLC environments.
- Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles.
- Excellent analytical, decision-making, and problem-solving skills.
- Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users.
- Strong verbal and written communication skills to engage both technical and non-technical audiences at various organisational levels.
- Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).
- #J-18808-Ljbffr
Senior Data Engineer in City of Westminster employer: Intercontinental Exchange
Intercontinental Exchange, Inc. (ICE) is an exceptional employer that offers engineers the chance to work on innovative technology within a dynamic and collaborative environment. With a strong focus on employee growth, ICE provides extensive training opportunities and encourages professional development, ensuring that team members can thrive in their careers while contributing to one of the largest global financial networks. Located in a vibrant area, employees enjoy a supportive work culture that values problem-solving and teamwork, making it a rewarding place to build a meaningful career.
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We think this is how you could land Senior Data Engineer in City of Westminster
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We think you need these skills to ace Senior Data Engineer in City of Westminster
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!
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Craft a Tailored Cover Letter:For a full-time role at Intercontinental Exchange, 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 Intercontinental Exchange. 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 Intercontinental Exchange
✨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 Intercontinental Exchange!
✨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.
