Data Jobs

Senior Data Engineer #2595 Position Summary: Our partner is a global manufacturer modernizing its ERP-driven data environment into a cloud-native platform for trusted analytics and forecasting. Experience and Education: BS in Computer Science, Information Systems, Software Engineer or equivalent technical field Experience building enterprise data platforms using Databricks and Azure Background in designing and owning data models sourced from ERP systems Experience working with SAP or other large-scale ERP environments History of owning data pipelines end-to-end in production environments Exposure to forecasting, analytics, or ML-enabled data use cases Experience working with globally distributed or offshore teams Skills and Strengths: Databricks Azure Data engineering Data modeling ERP data environments SAP SQL Python Lakehouse architecture ETL design Data orchestration Data quality frameworks Performance optimization Enterprise data governance Analytics enablement Forecasting data pipelines Machine learning support Systems tradeoff analysis Cross-team collaboration Technical documentation Primary Job Responsibilities: Own the Databricks-based data engineering layer used across the enterprise Design and maintain high-quality data models sourced from ERP systems Ensure data pipelines are reliable, scalable, and performant Standardize ETL patterns, orchestration, and data ...

Our platform serves as the core foundation for data-driven decision-making across the organization, facilitating robust metrics and semantic layers, comprehensive data quality, and rigorous governance. We are seeking a versatile Data Engineer to build critical data platform components, sophisticated database and lakehouse models, and robust integration and ingestion solutions.

MLOps Engineer – Contract (Glasgow / Hybrid) We are looking for an experienced MLOps Engineer to join a large-scale data and machine learning programme within a regulated enterprise environment. Key details: Contract role (PAYE via umbrella only) Location: Glasgow (hybrid) Rate: £350 per day (to umbrella) Security clearance: BPSS eligibility required What you will be doing: Designing and automating scalable ML infrastructure using AWS-native services and infrastructure as code Building, deploying, and managing machine learning models across their full lifecycle Creating and optimising data pipelines using distributed processing frameworks Developing serverless automation and Python-based services Implementing best-practice MLOps processes, including CI/CD for models and pipelines Putting monitoring in place for model performance, drift, and reliability Ensuring ML workloads are secure, compliant, and production-ready Collaborating with data scientists, data engineers, and cloud teams to operationalise ML solutions What I’m looking for: Strong hands-on experience in MLOps, ML engineering, or cloud automation Deep experience with AWS, particularly: CloudFormation (infrastructure as code) SageMaker (training, inference, pipelines, model management) Glue and Spark for ETL and large-scale data processing Lambda, S3, IAM, KMS, CloudWatch Strong Python skills for ML and data workflows Solid understanding of the full ML lifecycle, from data preparation through to deployment and monitoring Experience building CI/CD pipelines for machine learning workloads Familiarity with common ML frameworks such as TensorFlow, PyTorch, or Scikit-learn If this sounds like something you’d be interested in, feel free ...

We are seeking a highly skilled Data Engineer focused on building, optimizing, and maintaining enterprise-grade ETL/ELT pipelines using AWS Glue, Amazon S3, and Databricks. This role is responsible for transforming raw data into curated, analytics-ready datasets that support business intelligence, advanced analytics, and operational reporting.

Your work will realize our data strategy by developing cutting-edge data solutions. Build, enhance and scale platform data capabilities Contribute to the delivery of our data strategy by defining the architecture, design and development of new data fe...

Your work will underpin data integrity including developing, maintaining, and publishing commonly used terminology across MO. Main Responsibilities You Innovate To Go Faster By Providing Tools And Methods For The Wider Business To Garner Insights Form Our Data Warehouse And Data Lake.

Your work will enable trusted data products, analytics, operational reporting, and future AI use cases, all through modern data architecture practices that drive innovation and business impact. Your Impact Partner with the Director, Data Architecture to implement enterprise data architecture standards and ensure consistent adoption across domains and initiatives Lead architecture design for assigned domains and initiatives, including conceptual, logical, and physical data structures aligned to business requirements and data products Define and maintain domain-aligned data definitions and semantic consistency to support a unified understanding of key business e...

Extensive knowledge of AWS cloud services, data lake architecture, and big data technologies. AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty, are highly desirable.

Note: The above information relates to a specific client requirement Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. It is personal to all of us.” – Julie Sweet, Accenture CEO Key responsibilities of the role are summarised below: Define the architecture for high profile, public facing, government, and private sector projects, including providing architectural and technical leadership Define data strategy, data migration approach, data integration approach, data models and data design for any given client Investigate and thoroughly understand the current live applications and systems at any given client site Ensu...