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About the Opportunity Job Type: Permanent Application Deadline: 16 August 2026 Title Up-to-date Data Engineer III Department AMP Location Bengaluru Reports To Data Engineers Lead Level 4 We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our team and feel like you are making progress. About your team AMP Data Engineering is an engineering group that supports the broader data and investment services landscape. Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process. These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading. About your role This role sits within the AMP Data Engineering team. The team is responsible for building and maintaining data applications and platforms that enable business operations. This role is appropriate for a senior data engineer capable of taking ownership and delivering a subsection of the wider data platform or data applications. As a Data Engineer, you will directly contribute to key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business Enablement. Key Responsibilities - Develop components of data pipelines for ingestion and transformation - Execute and monitor data quality validation processes - Implement solutions based on specifications from senior engineers - Assist in translating business requirements into technical implementations - Write efficient SQL queries and Python scripts for data processing - Follow team standards and engineering best practices - Participate in code reviews to improve technical skills - Help maintain documentation for data processes and configurations - Troubleshoot basic issues in data pipelines About you Core Technical Skills - Cloud Platforms: Working knowledge of cloud-based data platforms (Snowflake or equivalent) - AWS Ecosystem: Familiarity with AWS services particularly S3 and Glue - Streaming Architecture: Basic understanding of event-based or streaming data concepts - Programming: Positive proficiency in Python and SQL - DevOps: Familiarity with basic CI/CD concepts - Data Security: Understanding of data access control concepts - Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) - Data Integration: Basic understanding of ETL concepts - Orchestration: Exposure to workflow tools (Airflow, Control-M, etc.) - Engineering Practices: Familiarity with GitHub and version control principles - Domain Knowledge: Willingness to learn investment management industry concepts Bonus technical Skills: - Basic understanding of containerization concepts - Interest in API development - Willingness to learn about Asset Management data domains Key Soft Skills: - Problem-Solving: Analytical mindset and eagerness to learn - Communication: Clear communication of technical concepts - Teamwork: Ability to work effectively in a team environment Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.