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For Companies At a Glance
- Tasks: Design and build scalable data platforms using Azure and Databricks for advanced analytics.
- Company: Join the London Stock Exchange Group, a leader in global financial markets.
- Benefits: Full-time role with competitive salary and commitment to diversity and inclusion.
- Why this job: Shape the future of data infrastructure and make a real impact in finance.
- Qualifications: 3+ years in data engineering with strong Azure and Databricks skills.
- Other info: Dynamic team environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open‑access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open‑access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
We are seeking a highly skilled and experienced Senior Data Engineer to architect, build, and optimize scalable data platforms that power advanced analytics and real‑time data processing. This role is pivotal in shaping our cloud‑first data strategy, leveraging Azure and Databricks to deliver robust, secure, and high‑performance data infrastructure.
What You’ll Be Doing
- Design and implement scalable data infrastructure using Azure services (e.g., Data Lake, Synapse, Event Hubs, Data Factory).
- Architect and handle Databricks environments for batch and streaming workloads.
- Collaborate with commodity research, data engineer, architect, and analyst teams to ensure seamless integration and deployment of data pipelines.
- Conduct advanced data analysis, modelling, and visualization to identify patterns and insights.
- Develop and maintain ETL processes for ingesting, transforming, and loading data from diverse sources.
What You’ll Bring
- Demonstrated ability in data engineering or ML Engineering roles, with at least 3 years of experience in Azure cloud data platforms.
- Deep understanding of the big data ecosystem (Spark, Delta Lake, Kafka, Hive, etc.).
- Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker, etc.
- Familiarity with data visualization tools and business intelligence (e.g., Power BI).
- Hands‑on experience with Azure cloud services, especially in data and networking.
- Strong proficiency in Databricks (including workspace management, cluster tuning, and job orchestration).
- Proven understanding of data security, identity management, and RBAC in cloud environments.
- Excellent problem‑solving and communication skills.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Equal Opportunities
We are a proud equal opportunities employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Senior Data Engineer - London Stock Exchange Group in Nottingham employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - London Stock Exchange Group in Nottingham
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone at LSEG. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your hands-on experience with Azure and Databricks. Share specific projects where you've made an impact – it’s all about showcasing what you can bring to the table!
✨Tailor Your Approach
Don’t just apply to every job under the sun. Focus on roles that align with your skills and interests, like the Senior Data Engineer position at LSEG. Customise your pitch to show how you fit perfectly into their cloud-first data strategy.
✨Apply Through Our Website
We encourage you to apply directly through our website. It not only shows your interest but also helps us keep track of your application better. Plus, it’s the best way to ensure your CV lands in the right hands!
We think you need these skills to ace Senior Data Engineer - London Stock Exchange Group in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure and Databricks, and don’t forget to showcase any relevant projects that demonstrate your skills in data engineering.
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 your background aligns with our mission at LSEG. Keep it concise but impactful!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your hands-on experience with tools like Spark, Delta Lake, and any machine learning frameworks you've worked with. We love seeing those details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
