Data Engineer - Advanced Analytics | Active eSC/eDV Required

IBM; Greater London; Híbrido; GBP 70 000 - 110 000; Tempo integral

Resumo da oferta

IBM Consulting UK FutureNow is hiring a Data Engineer specializing in Advanced Analytics. You will help clients convert complex data into insights, deliver AI-enabled data platforms, and support automated decision‑making across sectors.

You’ll work within IBM Consulting's Hybrid Cloud & Data practice to design modern data solutions, enabling analytics, ML, AI, and Generative AI use cases for regulated industries. Collaboration with data scientists and stakeholders is essential.

Qualificações

• Bachelor's degree required in a STEM field or related discipline.
• Proven experience designing and building data engineering solutions in enterprise environments.
• Strong programming skills in Python and SQL; experience with data processing libraries.

Responsabilidades

• Design, build, and optimise data pipelines for analytics, ML, and AI workloads.
• Develop scalable data solutions across structured and unstructured data.
• Engineer datasets and analytical products for Data Science, AI, forecasting, and reporting.
• Build and maintain data processing frameworks and integration patterns.
• Support analytics, predictive modelling, and AI initiatives with high-quality data engineering.
• Collaborate with Architects, Data Scientists, AI Engineers, and stakeholders throughout delivery lifecycle.
• Translate business requirements into scalable technical solutions.
• Contribute to modern data platform design, governance, and best practices.
• Mentor junior engineers and lead technical workstreams.
• Explore emerging technologies across Data Engineering, Analytics, and AI.

Conhecimentos

Python & SQL

Data engineering design

Cloud analytics

Agile delivery

Stakeholder management

Formação académica

Bachelor's Degree

Ferramentas

Databricks

Microsoft Fabric

Snowflake

Synapse

Pandas

NumPy

PySpark

Dask

Descrição da oferta de emprego

Introduction

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.

Introduction

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.

Your Role And Responsibilities

As a Data Engineer specialising in Advanced Analytics, you'll help clients turn complex data into actionable insight, AI capabilities, and intelligent decision‑making platforms.

Working within IBM Consulting's Hybrid Cloud & Data practice, you'll design and deliver modern data solutions that support advanced analytics, machine learning, artificial intelligence, and Generative AI use cases across Public Sector, Financial Services, Defence, and other regulated industries.

You’ll collaborate with Data Scientists, AI Engineers, Architects, Product Owners, and stakeholders to build scalable data products and analytical solutions that solve real business challenges.

Core Responsibilities

• Design, build, and optimise data pipelines supporting analytics, machine learning, and AI workloads.
• Develop scalable data solutions across structured and unstructured data environments.
• Engineer datasets and analytical products that enable Data Science, AI, reporting, and operational decision‑making.
• Build and maintain data processing frameworks, transformation pipelines, and integration patterns.
• Support advanced analytics, predictive modelling, and AI initiatives through high‑quality data engineering.
• Collaborate with Architects, Data Scientists, AI Engineers, and business stakeholders throughout the delivery lifecycle.
• Translate business requirements into scalable and maintainable technical solutions.
• Contribute to modern data platform design, data governance, and engineering best practices.
• Mentor junior practitioners and help develop team capability.
• Continuously explore emerging technologies and approaches across Data Engineering, Analytics, and AI.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Strong experience designing and building data engineering solutions within enterprise environments.
• Proficiency in Python and SQL.
• Experience working with modern data processing libraries and frameworks such as:
• Pandas
• NumPy
• PySpark
• Dask
• Experience developing ETL / ELT pipelines and data transformation solutions.
• Exposure to analytics, machine learning, or AI‑enabled data workloads.
• Experience working with cloud‑based analytics and data platforms.
• Strong understanding of data modelling, data quality, and data governance principles.
• Excellent communication and stakeholder management skills.
• Experience working within Agile delivery environments.
• Ability to translate business requirements into scalable technical solutions.

This role is subject to pre‑employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). Additional National Security Vetting (NSV) requirements may apply, including Security Check (SC) or Developed Vetting (DV).

Preferred Technical And Professional Experience

• Experience with modern data platforms such as:
• Databricks
• Microsoft Fabric
• Snowflake
• Synapse
• Exposure to machine learning, AI, or Generative AI delivery.
• Experience supporting predictive analytics, recommendation systems, or AI‑enabled products.
• Familiarity with cloud services across AWS, Azure, or GCP.
• Experience working with Spark, distributed data processing, or large‑scale analytics platforms.
• Experience delivering solutions within Public Sector, Defence, Financial Services, or other regulated environments.
• Consulting experience or exposure to client‑facing delivery.
• Experience mentoring junior engineers or leading technical workstreams.