At a Glance
- Tasks: Lead the design and build of innovative data solutions using Snowflake.
- Company: Join LSEG, a global leader in financial markets and data services.
- Benefits: Competitive salary, diverse culture, and opportunities for personal growth.
- Why this job: Make a real impact in a dynamic environment while shaping the future of data engineering.
- Qualifications: 10+ years in data engineering with strong Snowflake and SQL skills.
- Other info: Collaborative culture that values innovation and individual contributions.
The predicted salary is between 43200 - 72000 £ 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.
Our People: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.
Role Profile: Our Snowflake infrastructure is critical to the organization, and it’s essential that every Principal Data Engineer drives improvements in the design and build quality of our data platforms. This role involves close collaboration with data scientists, analysts, and BI teams to deliver robust, scalable, and high-performance data solutions.
The successful candidate will be responsible for:
- Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Maintaining the Landing Zone (LZ) and template to keep pace with the frequency of Snowflake change.
- Assembling large, sophisticated sets of data that meet non-functional and functional business requirements.
- Building required infrastructure for efficient extraction, transformation and loading of data from various data sources.
- Building analytical tools to use the data pipeline, providing actionable insight into key business performance metrics.
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure while assisting with data-related technical issues.
- Reduce risk by continuously introducing automation over processes which require human intervention.
- Lead historical cost allocation of the existing data stack and forecast costs as the business continues to grow and new deployments adopt the platform.
- Seek opportunities to engage the business on how to improve cost / performance ratios.
- Ensure all work is documented, conforming to security, infrastructure, product and other internal requirements.
- Contribute to the Snowflake Centre for Enablement delivering: a) Preferred integration patterns and standards; b) Advice, mentorship and assistance to partner teams; c) Evolving our company policies and standards.
Candidate Profile / Key skills:
- Minimum 10 years of industry experience, preferably in financial services.
- Hands-on experience with Snowflake (including administration) is an essential requirement for this role.
- Strong SQL skills for querying and optimizing data within Snowflake.
- Proven skills in cost optimization techniques.
- Hands-on experience with modern data engineering tools and frameworks such as dbt (data transformation), Apache Airflow (workflow orchestration), and streaming technologies like Apache Kafka.
- Hands-on experience of scripting languages (Python, Shell Script etc) for automation of tasks and processes.
- Good understanding of data through previous hands-on contributions to design, development, and implementation of IT systems.
- Familiarity with cloud platforms, as Snowflake is often deployed on popular cloud providers like AWS, Azure, or Google Cloud Platform.
- Good Understanding of automating infrastructure provisioning via Terraform, DevOps skills.
- Previous experience in Docker, Gitlab, Jenkins is advantageous.
- Excellent communication and interpersonal skills.
- Proactive, determined, and resilient, with a positive attitude.
- Extensive and demonstrable problem-solving and decision-making capabilities.
- Nice to have AWS, Snowflake certifications.
Career Stage: Manager
Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s 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.
Principal Data Engineer in London employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and think about how you can contribute to their mission. This will help you stand out as a candidate who truly gets them.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on relevant data engineering projects, make sure to highlight them during interviews. Real-world examples can speak volumes!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Engineer role. Highlight your experience with Snowflake, SQL, and any relevant data engineering tools. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don’t forget to mention your enthusiasm for innovation and collaboration, as these are key to our culture at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex data challenges in the past. We love candidates who can demonstrate their problem-solving abilities and proactive approach to overcoming obstacles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us that you're serious about joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience with it, including administration and optimisation techniques. Prepare examples of how you've used Snowflake to solve real-world problems in your previous roles.
✨Showcase Your Data Engineering Skills
Highlight your expertise in modern data engineering tools like dbt, Apache Airflow, and streaming technologies. Be prepared to explain how you've implemented these tools in past projects, focusing on the impact they had on performance and efficiency.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Communicate Clearly and Confidently
Since this role involves collaboration with various teams, strong communication skills are a must. Practice articulating your thoughts clearly and confidently. Consider doing mock interviews with friends or colleagues to refine your delivery and ensure you convey your ideas effectively.