# Senior Data Engineer

**Company**: London Stock Exchange Group (LSEG)
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/Senior-Data-Engineer_R0120216-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_95adf4a8-524

## Description

We are looking for a strong, hands-on, highly autonomous Senior Data Engineer to design, build, and operate our enterprise People Function Capability Layer.

You will be instrumental in delivering a secure, reliable, scalable, and cost-efficient service layer that integrates multiple systems across the People ecosystem.

**Key Responsibilities:**

- Build and lead the development of high-performance, event-driven integration pipelines, applying strong debugging and performance optimization skills to ensure resilient data flows.

- Define and enforce technical standards, design patterns, and engineering best practices across development, security and data governance.

- Design and enforce canonical data models and schemas to standardize complex organizational data domains across systems.

- Build and manage CI/CD pipelines to enable reliable, repeatable, and automated software delivery.

- Drive observability and monitoring using tools such as Datadog and Grafana to ensure system reliability and performance.

- Collaborate with distributed engineering teams and cross-functional stakeholders to translate business requirements into scalable data solutions delivered within agreed timelines.

- Design, provision, and manage AWS infrastructure to ensure high availability, scalability, and low-latency processing for data workloads.

**Must Have Skills:**

- Strong hands-on experience in Golang and Python for backend and data engineering use cases.

- Strong hands-on experience with AWS cloud services – AWS Lambda, SQS, SNS, EC2, S3, RDS, API Gateway, VPC, EKS, ECS, IAM, CloudWatch and cloud-native architecture patterns.

- Strong experience with relational databases (e.g., PostgreSQL, MS SQL) and NoSQL stores (e.g., DynamoDB).

- Strong hands-on experience with message brokers and event-driven architectures (e.g., Kafka, RabbitMQ).

- Hands-on experience designing and implementing RESTful APIs and data services.

- Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI).

- Experience building highly available, distributed systems on AWS, including containerization using Docker.

- Hands on experience building highly available distributed systems in AWS and containerization using Docker.

- Experience with observability platforms such as Datadog, Prometheus, or equivalent.

- Strong understanding of cloud security best practices including IAM, encryption, secrets management, vulnerability scanning, and compliance controls.

**Qualifications:**

- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

- 5+ years of software engineering experience, with at least 3+ years focused on data engineering or distributed data platforms.

- 3+ years of experience working with Golang, Python, AWS, and Kafka in production environments.

**Nice to have:**

- AWS certifications such as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate.

**Benefits:**

- LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

## Skills

### Required
- Golang
- Python
- AWS
- Kafka
- Datadog
- Grafana
- PostgreSQL
- DynamoDB
- RabbitMQ
- Jenkins
- GitLab CI
- Docker
- Prometheus

### Nice to have
- AWS Certified Data Engineer – Associate
- AWS Certified Solutions Architect – Associate
- AWS Certified Developer – Associate

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/Senior-Data-Engineer_R0120216-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)