11 of 11 Data Engineering Jobs in Scotland

Data Engineering Manager Location : Glasgow, UK Salary : Competitive Salary + Package (dependent on experience) Career Level: (Accenture will be recruiting at the following levels : Manager) 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. With our thought … with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: We have exciting opportunities for a Data Engineering Senior Manager to join our Data & AI practice, part of larger Cloud First Group. We deliver scalable, business critical and end-to-end solutions for our … client - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you’re looking for a challenging More ❯

Embark on a transformative journey as an Enterprise Data Architect. At Barclays, our vision is clear: to define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. To … be successful as an Enterprise Data Architect, you should have experience with: Developing architectural solutions and patterns using latest data engineering approaches, for example data lake, events, API Ability to logically model financial data Excellent written communications skills with experience using structured design languages, for example UML, Archimate or equivalent Some other highly valued skills … may include: Good stakeholder management skills up to C-level execs Understanding of data governance and data management processes and best practice You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical More ❯

Data Architect page is loaded Data Architectremote type: Hybridlocations: Edinburgh, GB: London, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2477Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable … Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Summary We are seeking an experienced Data Architect to lead, design and manage our modern data infrastructure, with a strong focus on Snowflake, data modelling, dbt, and data engineering. The ideal candidate will … play a key role in shaping AI-centric data solutions that support scalable product development, analytics, operational efficiency, and strategic decision-making.With an emphasis on Data as a Product, this role requires strong leadership, effective cross-functional communication, and a strategic mindset. In collaboration with the Head of Data, the incumbent will develop a robust operating model More ❯

we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department As an Engineer (Data Platforms), you will be a member of the Development Chapter within the Asset Management Tribe, reporting to the Development Chapter Lead and working as part of a cross-functional … giving you visibility and the chance to make a tangible impact on decision-making and operational efficiency. About the Role This role is focused on building and maintaining the data platforms and pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to … support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows, and deliver robust, scalable solutions. You will work closely with data analysts, investment teams, and other engineers to ensure the quality, availability, and performance of More ❯

Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights. Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready … data which benefits our clients in: Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a Data Scientist at Veritas, you’ll help develop and deliver data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and More ❯

Sr.Databricks Engineer (AWS) Location: Glasgow Duration: 31/12/2026 Days on site: 2-3 Rate: £402/day on Umbrella Role Description: We are currently migrating our data pipelines from AWS to Databricks, and are seeking a Senior Databricks Engineer to lead and contribute to this transformation. This is a hands-on engineering role focused on … designing, building, and optimizing scalable data solutions using the Databricks platform. Key Responsibilities: Lead the migration of existing AWS-based data pipelines to Databricks. Design and implement scalable data engineering solutions using Apache Spark on Databricks. Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines. Optimize performance and cost … efficiency of Databricks workloads. Develop and maintain CI/CD workflows for Databricks using GitLab or similar tools. Ensure data quality and reliability through robust unit testing and validation frameworks. Implement best practices for data governance, security, and access control within Databricks. Provide technical mentorship and guidance to junior engineers. Must-Have Skills: Strong hands-on experience with More ❯

Morgan Hunt are working with a housing association based in Edinburgh to recruit a data analyst on an FTC (2 years). Key responsibilities: Develop data management solutions and reports using Microsoft Azure, Power BI, and Power Platform. Provide third-line support for data services. Manage incidents, requests, problems, changes, and assets in the Digital & Data team. Develop and maintain best practices for data management from source to visualisation (data prep, integration, modelling, testing, reporting, analytics). Document deployed data solutions (process flows, security, error handling, etc.) Maintain and support existing data management solutions. Deliver training to business users on published data models and reports. Experience required: Strong background in … data engineering, warehousing, and data quality. Proficiency in Microsoft 365, Power BI, and other BI tools Familiarity with Azure Databricks and Delta Lake is desirable. Ability to work autonomously in a dynamic environment and contribute to team performance. Strong communication, influencing skills, and a positive, can-do attitude. Knowledge of the Housing sector and its regulatory environment More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to … the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. … Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience … ability to work independently or in a team. Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects with real More ❯

Principal Software Engineer - Snowflake page is loaded Principal Software Engineer - Snowflakeremote type: Hybridlocations: Edinburgh, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2454Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable … Focused - we accelerate change Curious - we turn knowledge into action About the Role We're looking for a Principal Software Engineer to join our Snowflake Platform team within our Data Platform group. You'll be responsible for the systems and infrastructure that integrate Snowflake into our broader data ecosystem, ensuring our platform is maintainable and continues to technically … to solve complex technical problems, particularly around Snowflake integration and platform adoption Have expert-level experience with Snowflake, including its architecture, capabilities, and how it integrates within a wider data platform ecosystem Have strong experience building web-based applications, supporting micro-services and deploying them in a cloud environment, with specific focus on data platform infrastructure Lead and More ❯

are seeking a Senior Full Stack Software Engineer to develop the next version of our innovate automated chemistry tech platform. You'll be working in a growing, cross functional engineering team with expertise across software, hardware, data engineering, AI research and infrastructure. Chemify is in start-up mode and our product roadmaps are being delivered in tight … to ensure new features are well architected Champion best practises for testing, author and maintain code and user facing documentation Contribute to internal communities of practise (CoPs) for software engineering Mentor junior colleagues and share your knowledge and experience with the wider team Contribute to team-wide initiatives, including code reviews, design discussions, process improvements and workstream planning What … you'll bring: BSc or equivalent experience, preferably in a Computer Science related field 5+ years commercial software engineering experience High EQ: bring compassion and technical acumen to the team, we are cross-functional by design, and everyone is a natural team player who can improve best practises Proficiency with Python and extensive experience with frameworks such as FastAPI More ❯