At a Glance
- Tasks: Create high-performance data pipelines and perform detailed data analysis using cutting-edge tools.
- Company: Join LSEG, a Great Place to Work certified company with a dynamic culture.
- Benefits: Enjoy 25 days holiday, wellness allowance, medical insurance, and flexible benefits.
- Why this job: Make a real impact in predictive analytics while collaborating globally with talented teams.
- Qualifications: 5+ years experience with AWS Aurora MySQL and strong problem-solving skills required.
- Other info: Be part of a diverse team that values innovation and personal development.
The predicted salary is between 36000 - 60000 £ per year.
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Proud to share LSEG in Romania is Great Place to Work certified (Sept ’24 – Sept ’25). Learn more about life and purpose of our company directly from the Romanian colleagues’ video: Bucharest, Romania | Where We Work | LSEG.
In Predictive Analytics we ingest datasets from all over the business, derive content from them, optimise and make them available for our Analytics applications. Using a variety of tools such as Snowflake, Fabric and RDBMSs, you will be responsible for creating high performance Cloud-based data pipelines and performing detailed data analysis tasks.
You will focus on creating a highly scalable, automated and reliable data ingest capabilities, responsive to the changing needs of the Analytics business.
This is an opportunity to collaborate locally and across the globe with highly motivated and knowledgeable Architecture, Application Delivery Engineers, Site Reliability Engineers, and Developers in our effort to continually improve our Analytics products for our customers.
Key Responsibilities
- Taking requirements for new dataset inputs for models, working with content teams to source the data, defining the best way to ingest it.
- Deriving, enriching and combining content to make it useable within our Analytics.
- Data-driven analysis and problem solving to overcome data quality issues.
- Collaborate with multi-functional teams to define software system requirements and objectives.
- Design, develop, and maintain data infrastructure, focusing on scalability, reliability, automation, and performance.
- Providing technical support to Operations or other development teams.
- Manage software configuration, deployment, and release processes.
- Supervise and optimize cloud costs.
- Monitor and maintain system security profile.
Essential Skills & Experience Required
- 5+ years experience with AWS Aurora MySQL as a DB administrator.
- Self-sufficient, goal-oriented teammate with good social skills.
- Well-honed problem solving skills.
- Experience with configuring and adapting data ingest tools.
- Knowledge/experience of Azure or AWS Cloud Technologies.
- Proficiency with Version Control Tools and CI/CD Tools (Git, GitLab) and related concepts such as branching/versioning strategies etc.
- Positive demeanour about learning new skills and technologies.
- Ability to work in highly agile, Sprint-based team environment.
Desired Skills
- Knowledge of Snowflake and other cloud-based data warehouse technologies like Microsoft Fabric.
- Python development experience.
- Knowledge of IaC and related technologies such as Terraform.
Education/ Certifications
- A relevant degree or equivalent is desirable, but experience and the right approach to work are just as meaningful.
- Azure or AWS certification a nice to have.
Benefits
We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career! We maximise each employee’s potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:
- 25 days’ holiday per year
- 1 additional day off for your Birthday
- Annual wellness allowance
- Share Purchase Plan
- Medical Health Insurance
- Medical Subscription (preventive medical services)
- Dental Coverage
- Life insurance
- Pillar 3 Private Pension
- Meal Vouchers
- Flexible Benefits
- Bookster
- Volunteering Events
- All LSEG colleagues with at least one year’s continuous service, who become parents, are now entitled to at least 26 weeks’ paid leave, and the option to return to work on a phased basis, in relation with specific company’s policy and guidelines
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.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
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. Conforming with applicable law, we can reasonably accommodate applicants\’ and employees\’ religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
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Senior Data Engineer - Predictive Analytics employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Predictive Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at LSEG. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AWS Aurora MySQL and data pipelines. This can really set you apart during interviews.
✨Tip Number 3
Be ready for technical challenges! Brush up on your problem-solving skills and be prepared to tackle real-world scenarios related to data quality and ingestion during your interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the LSEG team.
We think you need these skills to ace Senior Data Engineer - Predictive Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS Aurora MySQL and any relevant cloud technologies. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for predictive analytics and how you can contribute to our team. Let us know why you're excited about working with us at LSEG.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled data quality issues or optimised data pipelines in the past. We love seeing those well-honed problem-solving skills in action!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at LSEG
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like AWS Aurora MySQL, Snowflake, and Python. Brush up on your knowledge of cloud technologies and data ingest tools, as these will likely come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data quality issues or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Collaborate and Communicate
Since the role involves working with multi-functional teams, be ready to demonstrate your teamwork skills. Share experiences where you’ve successfully collaborated with others, and emphasise your ability to communicate complex technical concepts clearly.
✨Embrace Continuous Learning
LSEG values intellectual curiosity, so express your enthusiasm for learning new technologies and skills. Mention any recent courses or certifications you’ve pursued, especially those related to cloud technologies or data engineering.