Data Engineer

Talent Acquisition Manager @ Equiniti | LinkedIn Recruiter, Sourcing

Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology, supporting 37 million people in 120 countries.

EQ’s vision is to be the leading global share registrar, offering complementary services to its client base. 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

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, improving data infrastructure, data quality, and enabling 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, ensuring data quality, security, and compliance

Collaborate with Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools

Optimize 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

Essential Skills & Capabilities

Good experience in data engineering, focusing 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

Desirable

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

What We Offer

Equiniti Pension Plan (matches up to 10%)

All Employee Long‑Term Incentive Plan (LTIP)

Health and Well‑Being: Employee Assistance Programme, life assurance cover at 4× salary, and optional enhanced cover

Employee discounts through EQ Wins Platform

Flexible benefits flex plan (gadgets, travel insurance, holiday trading, etc.)

Time Off: 28 days holiday plus bank holidays, 2 volunteer days

Recognition: Equiniti ICON award vouchers

Learning & Development: LinkedIn Learning investment

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, including 5‑year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.

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