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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Advanced Analytics | Active eSC/eDV Required - **Company:** IBM - **Location:** Manchester, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation Services, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Recommender Systems, Cloud Services, AI-enabled Products, SQL Databases, Unstructured Data, Data Processing, Snowflake, Apache Spark, Generative AI, Pandas, Microsoft Fabric, Pyspark, Dask, Data Management, Data Pipelines, Databricks - **Published:** October 2, 2026 - **Apply:** https://dejobs.org/x/x/9934D75E8E914BB5961072DB4935444B/job/ ## About the Role * 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. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## Description * 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. ## Related Videos - [Vectorize all the things! 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