Management Level
GBusiness Division: Product & Engineering
Business Function / Department: Data Office
Job Title: Data Engineer
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries.
EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide.
Capitalising on India’s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK.
EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.
Role Summary
EQ’s Global IT function has begun a transformation journey to support EQ’s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers.
We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem. Your expertise will help us to improve our data infrastructure, improve data quality, and enable data-driven decision-making across the organization.
Core Duties and Responsibilities
Design, build, and maintain large-scale data pipelines using Microsoft Fabric and Databricks
Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance
Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools
Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness
Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity
Work with cross-functional teams to identify and prioritize data engineering projects and initiatives
Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing
3+ years of experience in data engineering, with a focus on cloud-based data pipelines and architectures
Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management
Proficiency in Python, SQL, Scala, or Java
Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory
Strong understanding of data architecture principles, data modelling, and data governance
Experience with cloud-based data platforms, including Azure and or AWS
Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams
Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services
Experience with agile development methodologies and version control systems such as Git
Certification in Microsoft Azure, Databricks, or other relevant technologies
Benefits
Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer:
3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives
Business related certification expense reimbursement
Comprehensive Medical Assurance coverage for dependents & Parents
Cab transport for staff working in UK & US shift
Accidental & Life cover 3 times of concerned CTC
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks.
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What We Do
Our people and platforms engage customers with investments, connect businesses with markets, and enable organisations to grow.
Our vision is to be a leading global share registrar and transfer agent, offering complementary services in pensions and remediation, to help our customers succeed.
