Data Engineer Associate - Apply now!

Introduction

About Business Unit

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

At IBM Consulting UK FutureNow, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.

You’ll collaborate with top industry professionals, gain hands‑on experience with cutting‑edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high‑profile programmes that stretch your skills and accelerate your growth.

We invest heavily in you—supporting continuous learning, in‑demand skills development, and long‑term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

We offer:

Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme

More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As an Associate Data Engineer, you’ll design and build the systems that let organisations turn raw data into real insight. You’ll work with modern tools, cloud platforms, and big‑data technologies to create pipelines, storage solutions, and architectures that keep data flowing smoothly and securely.

Your work will help data scientists, analysts, and business teams access clean, reliable, and scalable data — forming the foundation for dashboards, automation, and machine‑learning models. If you’re curious, analytical, and excited to solve real‑world problems, this role is built for you.

What You’ll Work on as an Associate Data Engineer:

Design, build, and maintain data integration pipelines that connect multiple systems and data sources

Work with super agents such as IBM Consulting Advantage & IBM BoB to responsibly use AI to augment your data engineering responsibilities.

Work with data transformation tools to extract, transform, and load data for reporting, AI, agentic & digital use cases.

Collaborate with a hybrid organisational hierarchy across both humans and agents that are cross functional, operating in a multidisciplinary team, including data scientists, platform engineers and business analysts to achieve project goals.

Physicalise data into a variety of different data platform technologies & formats including embedding data into vector databases to support generative or agentic ai use cases.

Support data modelling, data mapping, and documentation for integration workflows

Troubleshoot pipeline issues, improve performance, and optimise processes

Work with APIs, streaming data platforms, and batch workflows depending on project needs

Help implement data governance practices, including metadata, lineage, and quality checks

Support cloud‑based data integration and automation using tools such as Azure Data Factory, AWS Glue, Google Dataflow, IBM watsonx.data integration, or similar platforms

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Required Technical Experience

Experience with agentic data engineering patterns and principles.

Significant experience in prompt engineering and especially using responsible AI & agentic tools to accelerate the Data Development Lifecycle (DDLC)

Experience with at least one programming/scripting language such as Python, SQL, or Scala

Understanding of ETL/ELT concepts, data warehousing, and integration patterns

Exposure to cloud data platforms (Azure, AWS, Google Cloud, IBM Cloud)

Familiarity with data modelling, database structures, and APIs

Problem‑solving skills in debugging data quality, transformation, and pipeline issues

Knowledge of tools such as DataStage, Informatica, Talend, dbt, Airflow, or similar (if applicable)

Understanding of batch vs. real‑time data processing

Capable of authoring da