Senior Data Engineer

Senior Data Engineer at Iq Eq About the role You define the data platform vision and own end-to-end delivery. You design production pipelines that turn raw inputs into trusted outputs. You partner with analysts and architects to align architecture with business outcomes. Key facts

Location: India

Engagement: Full-time

Compensation: Competitive financial packages based upon market rates for your role, proportionate to your qualifications, level of experiences and skills profile What you'll do Orchestrating intake workflows for reliable data ingestion from diverse sources. Designing scalable structures that support analytics while meeting strict quality standards. Optimizing existing pipelines to handle growth without sacrificing stability or performance. Coordinating closely with developers and analysts to deliver features that unblock critical initiatives. Implementing production-ready models that balance accuracy, latency, and maintainability for stakeholders. Guiding best practices so that data remains consistent, documented, and auditable across teams. Championing platform resilience through monitoring, testing, and iterative improvements over time. Facilitating knowledge transfer so teams can operate data products independently and confidently. Requirements You hold a Bachelor's degree in Computer Science or a related field, with 3-5 years of software engineering experience, including strong hands-on expertise in data engineering and analytics within complex environments (financial services preferred). You are fluent in Linux and Bash, comfortable with Python, Go, Scala, C++, or Kotlin, skilled with advanced Python libraries such as Pandas, NumPy, PySpark, and Dask, and grounded in algorithms and data structures. You have hands-on experience with databases such as PostgreSQL, MySQL, Microsoft SQL Server, with cloud platforms such as AWS, Azure, or GCP, with data lakes and warehouses such as Snowflake, Databricks, Redshift, with stream processing such as Kafka and Kinesis, and with implementing data warehousing and API solutions. You adapt communication to diverse audiences, decide quickly with an action orientation, collaborate across cultures and geographies, and demonstrate sharp analytical problem solving with meticulous attention to detail. You thrive in fast-paced global organizations, lead and mentor teams, operate with integrity, communicate effectively with stakeholders, and understand ISO 27001 information security compliance; English fluency is required, with European languages viewed as an asset. Nice to have None specified. Skills & tools Only tools named in the source appear here by default. Practical notes What we offer - Comprehensive remuneration: Competitive financial packages based upon market rates for your role, proportionate to your qualifications, level of experiences and skills profile - Pension Scheme: Generous employer contribution with the ability to increase employee contributions - Wellbeing: Additional social benefits such as medical insurance & life assurance, discounted gym memberships and the opportunity to engage with our local community via sports activities, charity programmes & environmental initiatives - Flexible working: We recognize the value of working flexibly and enable our employees to enjoy an excellent work-life blend - Support and development: We will ensure you have the right training, tools and development plan to grow and improve your skills every day. About us We have an exciting opportunity for an experienced Data Engineer to join our global team in an Engineering Manager role, playing a key part in delivering our Group Data Strategy and Data Transformation journey. This hands-on technical position focuses on designing, building, optimizing, and maintaining our IQEQ Data Platform, ensuring scalable and reliable data solutions that drive business value, innovation, and growth. Working closely with software developers, data analysts, data scientists, and architects, you will lead the development of robust data pipelines and production-ready data models, enabling high-quality data delivery across multiple teams, systems, and products while championing best practices in data engineering and platform excellence. You will operate as a deeply technical, hands-on Engineering Manager, directly building, expanding, optimizing, and troubleshooting complex, production-ready data pipeline architectures. You will apply extensive, current data engineering expertise to construct, refine, and manage large-scale data infrastructures, demonstrating a proven ability to work directly with complex data assets. You will actively support software developers, database architects, data analysts, and data scientists by implementing data initiatives end-to-end, ensuring consistent and optimal data delivery across projects. You will work autonomously across multiple teams, systems, and products, ensuring scalable, reliable data architectures while confidently balancing hands-on delivery with cross-team technical leadership. Our commitment to you and the environment Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders - including our employees, clients, and local communities - while also reducing our impact on our natural environment. There is always more we can, and should do, to improve - whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We are committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees' careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,800+ employees - from 94 nationalities, across 25 countries - to each achieve their potential. Through Iq Eq Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. 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