Data Engineer - Cloud Consumption
LSEG is hiring a Data Engineer - Cloud Consumption. Level rates it ; you can apply on Level.
AI in this role
Overview – Data Engineer, Cloud Consumption
LSEG and Microsoft are engaged in an exciting strategic partnership for the development of next-generation data, analytics and cloud infrastructure solutions. Our customers’ needs are evolving and so are financial markets. This partnership will transform the way customers discover, analyse and trade securities around the world. It will also advance our cloud strategy and build the improved resilience, efficiency and agility that our customers need.
As part of the LSEG Microsoft Partnership (LMP) the Data Engineer, Azure Cloud Consumption is responsible for overseeing data analysis activities across all aspects of cloud consumption, leveraging analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to govern the reporting, evaluation and optimisation of cloud finances.
Key Responsibilities:
- Responsible for the maintenance, ongoing evaluation of and continual improvement of the cloud consumption model, providing feedback on data inputs and clarity on any assumptions to maintain robust oversight of consumption evaluation, modelling and reporting
- Ensures related data stores and model inputs adhere to defined best practices for curation and maintenance of accurate data points across the lifecycle of each application migration.
- Evaluate and forecast cloud consumption and develop and maintain reports for various forums detailing progress, risks and opportunities
- Model cloud consumption including scenario and sensitivity analysis – to inform decision making, insights, and identify gaps and trends.
- Optimise cloud consumption models across product development and technology application migration.
- Track and validate actual delivery performance to ensure assumptions are in sync with the product build and migration timelines.
- Drive greater transparency across delivery teams to inform reporting and improve root cause analysis – and make recommendations for improvements.
- undefined
Skills and Qualifications:
- Technical Knowledge: Understanding of fundamentals of operating infrastructure in the Cloud, preferably Azure.
- Modelling Skills: Experience of creating sophisticated, long term cost models – from a delivery, product, customer, technology and financial perspective.
- Analytical Skills: Ability to interpret usage data and analytics to make informed recommendations and track actions associated to the recommendations.
- Technical Skills: Excel and Power BI are essential to succeed in this role. Experience with Python and Databricks would be beneficial.
- Excellent Communication Skills: both verbal and written.
- Problem-Solving Skills: Curiosity about identifying issues and providing effective solutions.
We're proud to have been recognised as a Great Place to Work® in India ‘25
Career Stage:
ManagerLondon Stock Exchange Group (LSEG) Information:
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.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Data Engineer - Cloud Consumption at LSEG rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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