Senior Data Engineer

IQ-EQ; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Pension scheme

Medical insurance

Life assurance

Gym discounts

Hybrid work

Training & development

Job summary

IQ-EQ is actively seeking an experienced Data Engineer to join our global team as an Engineering Manager, shaping the Group Data Platform and guiding its transformation. You will lead robust data pipelines and production-ready models, collaborating with software developers, data analysts and architects to deliver high-quality data across multiple teams.

The role demands deep practical data engineering expertise, strong leadership, and the ability to operate across cloud and on-prem environments,

Qualifications

• Bachelor's degree in Computer Science or a related field; 7–10 years software engineering experience.
• Strong hands-on data engineering and analytics in complex environments (financial services preferred).
• Expertise across Linux/Bash, Python, Go/Scala/C++, Kotlin, and Python libraries (Pandas, NumPy, PySpark, Dask).
• Experience with databases (PostgreSQL/MySQL, SQL Server), cloud platforms (AWS/Azure/GCP), data lakes/warehouses (Snowflake, Databricks, Redshift).
• Excellent communication, cross-cultural collaboration, and problem-solving abilities; English fluency; ISO 27001 exposure.

Responsibilities

• Lead the delivery, enhancement, and maintenance of the IQEQ Data Platform to maximize business value and growth.
• Hands-on engineering manager: build, expand, optimize, and troubleshoot data pipelines and architectures.
• Design and manage large-scale data infrastructures; work directly with complex data assets across teams.
• Support software developers, data analysts, data scientists, and architects end-to-end on data initiatives.
• Balance hands-on delivery with cross-team technical leadership across multiple systems and products.

Skills

Linux

Bash

Python

Go

Scala

C++

Kotlin

Pandas

NumPy

PySpark

Dask

PostgreSQL

MySQL

SQL Server

AWS

Azure

GCP

Snowflake

Databricks

Redshift

Kafka

Kinesis

ISO 27001

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Snowflake

Databricks

Redshift

PostgreSQL

MySQL

Job description

ABOUT IQ-EQ

We're a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world’s top-15 private equity firms.

Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts.

Above all, what makes us different is our people.Operating as trusted partners to our clients,we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding.

We're driven by our Group purpose, to power people and possibilities.

Job Description

Introduction

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.

What you'll do

• You'll play a critical role in delivering the Group Data Strategy and Data Transformation journey by leading the delivery, enhancement, and ongoing maintenance of the IQEQ Data Platform to maximise business value and growth.
• You'll operate as a deeply technical, hands-on Engineering Manager, directly building, expanding, optimising, and troubleshooting complex, production-ready data pipeline architectures.
• You'll 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'll 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'll work autonomously across multiple teams, systems, and products, ensuring scalable, reliable data architectures while confidently balancing hands-on delivery with cross-team technical leadership.

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 recognise 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.

Qualifications

About you

• You hold a Bachelor's degree in Computer Science or a related field, with 7-10 years of software engineering experience, including strong hands-on expertise in data engineering and analytics within complex environments (financial services preferred).
• You bring deep technical capability across Linux and Bash, programming languages such as Python, Go, Scala, C++, or Kotlin, advanced Python libraries (Pandas, NumPy, PySpark, Dask), and a strong foundation in algorithms and data structures.
• You have proven experience with databases (PostgreSQL/MySQL, Microsoft SQL Server), cloud platforms (AWS, Azure, or GCP), data lakes and warehouses (Snowflake, Databricks, Redshift), stream processing (Kafka, Kinesis), and the implementation of data warehousing and API solutions.
• You communicate effectively by adapting your style to diverse audiences, act decisively with an action-oriented mindset, collaborate smoothly across cultures and geographies, and demonstrate strong analytical, problem-solving, and diagnostic skills with keen attention to detail.
• You operate confidently in fast-paced global organisations, lead and mentor teams, work with integrity and drive, possess strong stakeholder communication skills, and bring exposure to ISO 27001 information security compliance; fluency in English is required, with additional European languages considered an asset.

Additional Information

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're 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.

We're committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients' sustainability and success leads to our sustainability and success. We're emotionally invested in our clients right from the beginning.