10 of 10 Data Pipeline Jobs in Glasgow

Understanding Client data in the complex eco system of transaction banking is difficult, but high impact. This will remove operational impact to clients and also enable a richer client experience when interfacing with Barclays services. This will enable the Corporate Banking and Transaction Banking strategy to grow selectively … client entities are related globally. What will the role do? Partner with other business units to create a clean and reliable master data service for key Corporate Client data attributes. Deliver operationally excellent data services that can be rolled out for digital applications which ...

Data Integration Engineer Location - Glasgow (Hybrid/3 days onsite, non-negotiable) Duration - 12-month contract Day rate - circa £450 PAYE We are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection … Strong hands-on experience with Snowflake and Databricks in production environments Proficiency in Python and SQL Experience with Kafka and modern data pipeline frameworks Solid understanding of data modelling, big data, and analytics principles Familiarity with Git-based development workflows Experience with Power ...

Investment Banking - UX and Data Integration Engineer - Snowflake, Databricks, Kafka, Python, SQL, ETL, Power BI, Contract What will you be doing? The ENS UX and Data Integration Engineer is responsible for integrating diverse data sources into enterprise analytics platforms and translating business and user … requirements into scalable, well designed data solutions. This role sits at the intersection of data engineering, platform integration, and user experience, ensuring that data powering AI and analytics use cases is structured, performant, and well understood by downstream consumers. The role requires strong hands ...

actively looking for an experienced Sr. Cloud Data DevOps Engineer to join a high-impact data engineering team working on modern, scalable data platforms. Job Role: Sr. Cloud Data DevOps Engineer Location: Glasgow, UK Work Mode: Hybrid (2 days/week … office) Rate: £400/day Role Overview: This is a hands-on role where you’ll be building and optimizing data platforms, APIs, and pipelines in a cloud-native environment. You’ll collaborate with cross-functional teams to deliver secure, scalable, and high-performing data solutions ...

Senior Vice President of Product. This role drives technical strategy, fosters cross-functional collaboration, and delivers secure, scalable SaaS B2B industrial data analytics solutions. Embracing our vision of a zero-carbon future and our mission to innovate for cost reduction, value creation, and sustainable growth, this role ensures … excellence, ensuring high standards in secure, reliable, and scalable engineering practices. Enable the team to deliver high‐quality solutions by promoting agile practices, data‐driven decision‐making, and continuous improvement. Customer‐Centric Leadership Set the direction for delivering innovative and scalable solutions that address customer challenges and align ...

Compensation £40,000 - £70,000 Base + Benefits TL;DR Senior or engineer level full-stack software engineer role Fast growing data and AI startup specialising in the energy sector, based in the UK Hybrid/remote available must be UK based, Glasgow or Edinburgh preferred Must have … someone that has a lot of front-end experience but is comfortable building in the back-end too. Work with our expert data and AI team to build Cairn and help our users deliver more value from their data.This will be a key role in the technical ...

Senior Site Reliability Engineer (SRE) - Data & AI Platforms Location: Glasgow, Scotland (Hybrid - 3 days onsite, non-negotiable) Duration: 6 months with extensions likely Day rate: PAYE circa £430 We are seeking an experienced Senior Site Reliability Engineer to support a strategic, data- and AI-driven platform … delivering operational intelligence at scale. This role sits at the intersection of software engineering, platform operations, and data infrastructure, with a strong focus on reliability, automation, and continuous improvement. Key Responsibilities: Own reliability, availability, and performance across DEV, QA, and PROD environments Apply SRE principles (SLIs/SLOs ...

integration with Zero Trust. Harden AKS clusters and cloud-native apps through role-based access control (RBAC), secrets management, and runtime protection. Secure data pipelines and models in AI workloads, implementing guardrails for model integrity and prompt injection defence. Cloud & Network Security Engineer secure access and posture … automation. Strategic, yet pragmatic: balances best practice with business context. Proactive, communicative, and passionate about elevating security posture through innovation. MS Engineer & MS Data Scientist Associate Ability to exercise independent judgment and act on it. What’s in it for you? Hybrid working options for flexibility. Bonus linked ...

India's original IT garage start-ups. For more on HCL, please visit www.hcl.com Job Role - Job Title: Senior Data Lifecycle & Catalog Expert Experience: 10+ Years Work Location: Glasgow, UK Employment Type: Permanent and 1 year fixed term contract Hybrid- 2 days onsite and 3 days remote … Description- Senior Data Lifecycle & Catalog Expert – 8-10 yrs of exp Expertise in data lifecycle management and data cataloging Strong experience with databases: Sybase, DB2, MongoDB, SQL Hands-on experience in batch processing and data pipelines Proficiency in Java/Perl scripting ...

teams). You’ll be at the forefront of cloud-native engineering, working with modern technologies across AWS, On-premise Kubernetes, Python, and data pipelines. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference … modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling. Key Requirements 6-12 years of experience in software/data engineering; ideally in platform or infra roles. Strong understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications ...