Senior Data Engineer / Development Lead

LSEG; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

London Stock Exchange Group (LSEG) in Hyderabad, India seeks a Senior Data Engineer / Development Lead to architect and deliver enterprise-grade data solutions. Expertise in Python, Microsoft Fabric, Snowflake, and Databricks is essential to drive multi-cloud platforms with scalability and performance.

You will lead design and implementation of robust data pipelines, REST APIs, and CI/CD pipelines while mentoring engineers and collaborating with cross-functional teams to achieve business goals.

Qualifications

• 10+ years of hands-on software development and data engineering.
• Strong Python for data engineering and automation.
• In-depth experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Real-Time).
• Snowflake expertise (Snowpipe, Streams, Tasks) and Databricks (SQL, Python, Delta Lake, Unity Catalog).
• REST APIs development and consumption; CI/CD pipelines with Azure DevOps, GitHub Actions, GitLab.

Responsibilities

• Lead design and development of data engineering solutions.
• Architect multi-cloud data platforms (Azure/AWS) for scale and security.
• Build and optimize ETL/ELT pipelines (batch, streaming, CDC, near real-time).
• Develop and maintain REST APIs for data ingestion and automation.
• Design CI/CD pipelines and DevOps practices.
• Provide technical leadership including code reviews and mentorship.
• Collaborate with cross-functional teams to align with business goals.
• Keep exploring new data engineering and cloud technologies.

Skills

Python

Microsoft Fabric

Snowflake

Databricks

REST APIs

CI/CD pipelines

Docker

Kubernetes

SQL/NoSQL

Leadership

Debugging

Education

Bachelor's degree in Engineering or CS

Tools

Snowflake

Databricks

Azure DevOps

GitHub Actions

GitLab

Job description

Position Overview We are seeking a highly qualified Senior Data Engineer / Development Lead with deep technical expertise in modern data engineering, multi cloud architecture, and scalable system build. This role requires hands-on development capability, strong architectural thinking, and leadership in delivering enterprise-grade data solutions.

Key Responsibilities

• Lead the design and development of robust data engineering solutions using Python, Microsoft Fabric, Snowflake, and Databricks.
• Architect and deliver multi-cloud data platforms (preferred: Azure and AWS) with a focus on scalability, security, and performance.
• Build and optimize ETL/ELT workflows, including support for CDC, CDF, batch, streaming, and near real-time pipelines.
• Develop, integrate, and maintain REST APIs to support data ingestion, interoperability, and automation.
• Design and maintain CI/CD pipelines using modern DevOps tools.
• Provide technical leadership including code reviews, mentorship, architectural guidance, and standard methodologies.
• Collaborate with multi-functional teams, architects, and leadership to deliver high-quality solutions aligned with business goals.
• Continually explore emerging data engineering, AI, and cloud technologies to enhance platform capabilities.

Required Qualifications (Must-Have)

• 10+ years of hands-on software development and data engineering experience.
• Strong expertise in Python for data engineering, automation, and application development.
• In-depth experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Real-Time).
• Strong proficiency with Snowflake, including Snowpipe, Streams, Tasks, and performance tuning. Deep experience with Databricks (SQL, Python, Delta Lake, Unity Catalog, pipelines/workflows).
• Proficiency in building and consuming REST APIs. Hands-on expertise with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab etc.).
• Experience with containerization and orchestration technologies, including Docker and Kubernetes.
• Strong SQL and NoSQL database experience.
• Excellent debugging, performance optimization, and production support skills.
• Strong interpersonal skills with shown experience leading and mentoring engineering teams.

Preferred / Nice-to-Have Skills

• Exposure to or foundational understanding of AI/ML concepts, feature engineering, or model lifecycle.
• Experience with data governance and metadata tools (Purview, Unity Catalog, etc.).
• Knowledge of workflow orchestration platforms (Fabric Data Pipelines, Airflow, ADF).
• Understanding of data security, encryption standards, RBAC, and cloud compliance.

Preferred Education Background

• Minimum: Bachelor’s degree or equivalent experience in Engineering or Computer Science.
• Cloud certifications such as Azure, AWS, GCP, Databricks, or Snowflake are a plus.

Soft Skills

• Strong leadership and team mentoring capabilities.
• Effective communication and collaborator leadership skills.
• Ability to thrive in a fast-paced, agile environment.
• Critical thinking and ability to translate business needs into technical solutions.

We're proud to have been recognised as a Great Place to Work® in India ‘25

Career Stage: Manager

London 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.