At a Glance
- Tasks: Design and develop scalable data pipelines using Python and AWS tools.
- Company: Join LSEG, a global leader in financial markets infrastructure.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Dynamic team culture with opportunities for continuous learning and career growth.
- Why this job: Make a real impact on financial indices while growing your skills in a collaborative environment.
- Qualifications: Experience in Python, data engineering basics, and familiarity with AWS data stack.
The predicted salary is between 60000 - 80000 £ per year.
ABOUT US LSEG (London Stock Exchange Group) is a global financial markets infrastructure and data provider, dedicated to delivering services that enable customers to pursue their ambitions with confidence.
ROLE SUMMARY Ready to build scalable data systems with real‑world impact? Join us at FTSE Russell! We’re establishing a team of engineers passionate about data, software craftsmanship, and substantial impact. As a Lead Software Data Engineer, you’ll help power the indices trusted by financial institutions worldwide. You’ll work in a modern AWS environment, build robust pipelines, and collaborate closely with product and business teams to deliver reliable, high‑quality data solutions. We care about code quality, ownership, and helping each other grow. If you’re excited about building systems that matter, we’d love to meet you!
WHAT YOU'LL BE DOING
- Designing and developing scalable, testable data pipelines using Python and Apache Spark.
- Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3.
- Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing.
- Contributing to the development of a lakehouse architecture using Apache Iceberg.
- Collaborating with business teams to translate requirements into data‑driven solutions.
- Building observability into data flows and implementing basic quality checks.
- Participating in code reviews, pair programming, and architecture discussions.
- Continuously learning about the financial indices domain and sharing insights with the team.
WHAT YOU'LL BRING
- Writes clean, maintainable, testable, extensible Python code (ideally with type hints, linters, and tests like pytest).
- Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines.
- Has experience with or is eager to learn Apache Spark for large‑scale data processing.
- Is familiar with the AWS data stack (e.g., S3, Glue, Lambda, EMR).
- Strong experience in relational databases (e.g., Aurora PostgreSQL).
- Enjoys learning the business context and working closely with stakeholders.
- Works well in Agile teams and values collaboration over solo heroics.
NICE TO HAVE
- Experience with Apache Iceberg or similar table formats.
- Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions.
- Exposure to data quality frameworks like Great Expectations or Deequ.
- Experience with other data platforms like Databricks.
- Curiosity about financial markets, index data, or investment analytics.
EEO STATEMENT We are proud to be an equal opportunities employer. We do not discriminate on the basis of race, religion, color, 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 reasonably accommodate applicants’ religious practices and beliefs and mental health or physical disability needs.
BENEFITS LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
Lead AWS Software Data Engineer employer: Dormont Manufacturing Co
At LSEG, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Lead AWS Software Data Engineer, you'll enjoy tailored benefits such as healthcare and retirement planning, alongside opportunities for professional growth in a dynamic environment focused on impactful data solutions. Join us in London, where your contributions will directly influence the financial markets and help shape the future of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AWS Software Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AWS Software Data Engineer at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
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When you find a suitable opening like Lead AWS Software Data Engineer at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AWS Software Data Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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!
✨Showcase Your Projects
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 Dormont Manufacturing Co!
✨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.
