Principal Data Engineer

Role Overview: 

We are seeking a highly skilled and innovative Principal Data Engineer to join our team. In this role, you will be responsible for designing, building, and managing our data infrastructure, data science platform and analytical applications to enable data-driven decision-making across the organization. You will work on complex datasets and collaborate with cross-functional teams to unlock insights and deliver actionable intelligence.

Key Responsibilities: 

• Design, develop, and optimize big data pipelines, architectures, and data integration workflows.
• Build scalable and efficient data storage solutions, such as data lakes, warehouses, or cloud-based systems.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions.
• Develop and maintain ETL processes for ingesting, transforming, and loading data from diverse sources.
• Conduct advanced data analysis, modelling, and visualization to identify patterns and insights.
• Ensure data quality, reliability, and security across systems. 
• Work with distributed computing frameworks (e.g., Spark, Hive, Hadoop) to process and analyse large datasets. 
• Stay up to date with the latest trends and technologies in big data, analytics, and cloud platforms.

Required Skills and Qualifications: 

• 10+ years of relevant experience in big data and analytics.
• Bachelor’s / master’s degree in computer science engineering, or a related field.
• Strong programming skills in languages such as Python, Java, or Scala.
• Hands-on experience with Databricks, SQL, and data modelling.
• Experience in designing and developing high throughput analytical applications with a cloud data warehouse backend.
• Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).
• Familiarity with data visualization tools and business intelligence (e.g., Power BI). 
• Solid understanding of ETL workflows within databases / warehouses such as Oracle, PostgreSQL, SQL Server etc.
• Excellent problem-solving and communication skills.

Preferred Qualifications: 

• Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. 
• Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar.  
• Hands on experience with real-time analytical databases such as Clickhouse or Apache Druid/Pinot or similar.

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.

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