Data Engineer – Advanced Analytics & AI Pipelines

IBM

City of Westminster

Hybrid

GBP 80,000 - 130,000

Full time

7 days ago
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Benefits offered by this job

Flexible working
Sabbatical programs
Paternity leave
Maternity leave
Maternity returners scheme
25 days holiday
Private medical
Dental & optical cover
Employee Assistance Program
Life assurance
Group pension plan

Job summary

IBM Consulting UK FutureNow is seeking a skilled Data Engineer to design and implement scalable data pipelines, enabling analytics, ML, and AI workloads across enterprise environments. You'll partner with Data Scientists, AI Engineers, Architects and stakeholders to deliver modern data products within Hybrid Cloud & Data, applying best practices in data governance, quality, and security.

The role emphasizes mentoring junior engineers, contributing to platform design choices, and staying current

Qualifications

  • Strong experience designing and building data engineering solutions within enterprise environments.
  • Proficiency in Python and SQL.
  • Experience with Pandas, NumPy, PySpark, and Dask.
  • Experience developing ETL/ELT pipelines and data transformation solutions.
  • Exposure to analytics, machine learning, or AI-enabled data workloads.
  • Experience 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.

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.

Skills

Python
SQL
Pandas
NumPy
PySpark
Dask
ETL/ELT pipelines
Cloud platforms
Data modeling
Data governance
Data quality
Agile
Stakeholder management
Communication
Spark
Databricks
Snowflake
Synapse
Microsoft Fabric
ML/AI workloads
Public Sector / regulated environments
Mentoring
Distributed data processing

Tools

Databricks
Microsoft Fabric
Snowflake
Synapse
Spark

Job description

IBM Consulting UK FutureNow is seeking a skilled Data Engineer to design and implement scalable data pipelines, enabling analytics, ML, and AI workloads across enterprise environments. You'll partner with Data Scientists, AI Engineers, Architects and stakeholders to deliver modern data products within Hybrid Cloud & Data, applying best practices in data governance, quality, and security.

The role emphasizes mentoring junior engineers, contributing to platform design choices, and staying current

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