Lead Data Engineer
London, United Kingdom
LSEG
LSEG is your trusted global financial markets infrastructure and data provider. Discover how we deliver value for our customers.About Us:
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 commitment 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.
LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.
Role Description:
As a Lead Data Engineer, you’ll design and implement functionalities, focusing on Data Engineering tasks. You’ll be working with semi-structured data to ingest and distribute it on a Microsoft Fabric-based platform, modernizing data products and distribution channels. You’ll drive the software development lifecycle for continuous data delivery and lead the evaluation and adoption of emerging technologies.
Key Responsibilities:
Provide partnership and support to SME’s and Tech Leads to ensure delivery on commitments
- Build and maintain secure and compliant production data processing pipelines on Microsoft fabric and azure to ingest, land and transform data to on data product.
- Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints.
- Design, implement, monitor, and optimize data platforms to meet the data pipelines needs from functional and non-functional requirements.
- Responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming, and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, implementing required monitoring and telemetry and accessing external data sources.
- Design and operationalize large scale enterprise data solutions and applications using one or more Azure data and analytics services!
- Implement data solutions that use the following Azure services: Delta.io, Lakehouse, Fabric, Azure Cosmos DB, , Azure Data Factory, Spark, and Azure Blob storage, Microsoft Purview etc.
Skills and experience:
- Depending on seniority relevant experience in Data Platforms (in Financial Services industry), Azure’s PaaS/SaaS offerings (Fabric, Synapse, Purview, ADF, Azure Data Lake Storage etc.)
- Demonstrable experience in a similar role, with a focus on cloud distributed data processing platform for spark, and modern open table concept like delta/iceberg.
- Solid experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates.
- Strong proficiency in Spark, SQL, and Python/scala/Java.
- Experience in building Lakehouse architecture using open-source table formats like delta, parquet and tools like jupyter notebook.
- Strong notions of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor etc.).
- Proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
- Understand the data through exploration, experience with processes related to data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement.
- Ability to think strategically and operate in day-to-day delivery mode requirement of the role.
- Demonstrates ability to understand business requirements and the implications of those requirements on current and future roadmaps.
- High level understanding of Azure DevOps
- Agile development processes (SCRUM and Kanban)
- Strong communication, presentation, documentation, and interpersonal skills
- Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities.
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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Cosmos DB Databricks Data pipelines DevOps Engineering Java Jupyter Kanban Open Source Parquet Pipelines Privacy Python Scala Scrum Security Spark SQL Streaming Unstructured data
Perks/benefits: Career development Health care
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