Senior Engineer

Responsibilities

- Work with Customers, stakeholders, and Suppliers to establish Solution Intent; help establish the solution intent information models and documentation requirements
- Influence and drive adoption common modelling, design, and coding practices at the program level
- Synchronize solutions for data security and quality; Infrastructure; scalability, performance and other NFRS
- Identifies, prioritizes, and executes tasks in the software development life cycle
- Automates tasks through appropriate tools and scripting
- Design, Builds and oversee DevOps and CI/CD process
- Collaborates with internal teams (including Product Owners / Businesses) and vendors to fix and improve products
- Mentors Developers by providing advice and coaching.
- 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 by using different tools and techniques)
- Ensure that data pipelines and data stores are highly performant, effective, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss.
- Design, implement, monitor, and optimize data platforms to meet the data pipelines needs.
- Design and implement data engineering, ingestion, and curation functions on Azure cloud using Azure native or custom programming. Create data transformation and loading workflows.
- 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, and accessing external data sources.




- Implement data solutions that use the following Azure services: Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage, Microsoft Purview etc.
- Responsible for integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
- Contributes to and develops high-quality software design and architecture

Knowledge & Behaviours

Technical/ job functional knowledge

- Strong experience with any of Data Engineering Solutions like Snowflake/Azure, Fabric/Synapse Analytics/ Databricks, Data Factory, Data Lake, Azure Monitor, ADLS, Azure Functions, Log Analytics.
- Hands on experiences in building Cloud Applications.
- Strong hands-on experience with Python (3.x)
- Solid understanding of OOP concepts, design patterns, and best coding practices
- Experience with frameworks such as FastAPI, Flask, or Django
- Experience developing REST APIs and microservices
- Build and maintain Infrastructure as Code (IaC) using Terraform for cloud resources
- Strong notions of security standard processes (e.g., using Azure Key Vault, Microsoft Entra ID, RBAC, Azure Monitor etc.).
- Good understanding of Azure Networking concepts.
- Understanding of CI/CD pipelines, Git/GitLab, and modern DevOps practices.
- Familiarity with Docker, containerization, and cloud environments (AWS/Azure/GCP)




- Agile development processes (SCRUM).
- Strong debugging, problem-solving, and communication skills

Preferred / Nice-to-Have Skills

- Knowledge of message queues (Kafka, ServiceBus, etc.)
- Experience working in distributed systems or platform engineering teams
- Familiarity with front-end integration or full-stack exposure
- Understanding of AI concepts, LLM, MCP, Ontology and Knowledge Graphs.

Certification & development experience

- 7 + years of IT experience with 5 + years of relevant experience in Data Platforms (in Financial Services industry) and Azure’s PaaS offerings (Fabric, Purview, ADF, Azure Data Lake Storage etc.)
- Ability to work independently as well as in a team.
- Working experience with agile teams in different locations.
- Certification Azure - DP-203: Data Engineering on Microsoft Azure and DP-900: Microsoft Azure Data Fundamentals certification preferred.

Personal skills & capabilities

- Resilient and not fazed by an exciting environment.
- Ability to prioritise work.
- Strong communication, presentation, documentation, and interpersonal skills.
- Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities.
- Self-motivated and proactive with demonstrated critical thinking and creative problem-solving skills.
- Build and Mentors team by providing advice and coaching.

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

Career Stage : Senior Associate

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 fr

📌 Senior Engineer (Hyderabad)
🏢 LSEG (London Stock Exchange Group)
📍 Hyderabad