Hybrid Data Engineer: Advanced Analytics & AI

IBM

Boston (MA)

Hybrid

USD 79,000 - 119,000

Full time

3 days ago
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Benefits offered by this job

Flexible working
25 days holiday
Private medical insurance
Group pension (salary sacrifice)

Job summary

IBM Consulting UK FutureNow is seeking a Data Engineer specializing in Advanced Analytics to turn complex data into actionable insight and AI-enabled platforms. You’ll work within IBM’s Hybrid Cloud & Data practice, delivering modern data solutions for regulatory industries across public and private sectors.

You will collaborate with Data Scientists, AI Engineers, Architects, and stakeholders to build scalable data products, contribute to governance, and uphold best practices throughout delivery.

Qualifications

  • Strong experience designing and building data engineering solutions within enterprise environments.
  • Proficiency in Python and SQL.

Responsibilities

  • Design, build, and optimise data pipelines supporting analytics, ML, and AI workloads.
  • Develop scalable data solutions across structured and unstructured data environments.
  • Engineer datasets and analytical products enabling data science and reporting.
  • Build and maintain data processing frameworks, transformation pipelines, and integration patterns.
  • Collaborate with Architects, Data Scientists, AI Engineers, and stakeholders across the delivery lifecycle.
  • Translate business requirements into scalable technical solutions.

Skills

Python
SQL
NumPy
PySpark
ETL/ELT
Cloud platforms
Data modelling
Data governance
Communication
Agile

Education

Bachelor's Degree

Tools

Databricks
Snowflake
Synapse
Microsoft Fabric
Spark
AWS
Azure
GCP

Job description

IBM Consulting UK FutureNow is seeking a Data Engineer specializing in Advanced Analytics to turn complex data into actionable insight and AI-enabled platforms. You’ll work within IBM’s Hybrid Cloud & Data practice, delivering modern data solutions for regulatory industries across public and private sectors.

You will collaborate with Data Scientists, AI Engineers, Architects, and stakeholders to build scalable data products, contribute to governance, and uphold best practices throughout delivery.

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