6 of 6 Remote Data Pipeline Jobs in Edinburgh

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions … a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science … projects to tight deadlines Ability to work unsupervised and to manage a varied workload efficiently Minimum criteria You'll need all of these. Solid understanding of data pipeline/ELT development, including performance tuning Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI More ❯

Lead Data Engineer Salary: £85,000–£90,000 + Up to 10% Bonus + 15% Non - Contributory Pension Location: Hybrid working (3 days P/W On-Site) | Edinburgh Level: Lead We’re looking for a Lead Data Engineer to play a key role in expanding our client's data-driven capabilities and driving … the evolution of our enterprise data ecosystem. This is a strategic, hands-on position where you’ll lead the design and delivery of large-scale data solutions that power critical business decisions. You'll work with a high-performing Data & Analytics team on mission-critical systems across Data Warehousing, Data … create real business impact. You’re proactive, hands-on, and comfortable working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing … etc. They are looking for a senior Data Engineer to join their FinTech team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing … Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements More ❯

We’re Hiring: Lead AI and Data Engineer 📍 Edinburgh (Hybrid) | 💰 £60,000–£68,000 Are you passionate about AI, data engineering , and building systems that actually make an impact ? We’re looking for a strategic and hands-on leader to shape the way our organisation leverages data and AI—from predictive models that drive … your chance to take the lead in a high-impact role where innovation, automation , and engineering excellence come together. 🚀 What You’ll Be Doing ✅ Design and deliver scalable data architecture , pipelines, and semantic models ✅ Build and deploy production-grade AI solutions (predictive & generative) ✅ Champion automation-first engineering and modern DataOps/MLOps practices ✅ Lead the development of AI … data products tied to measurable business outcomes ✅ Manage, mentor, and grow a high-performing data engineering team ✅ Work cross-functionally with architects, analysts, data scientists, and IT ✅ Use tools like Azure AI, Power BI , and open-source frameworks ✅ Stay ahead of the curve with GenAI and cloud advancements 🧠 What You Bring Strong background in More ❯

and our employee exit rate is astonishingly low. Join us on our journey Let's create something awesome, together, today. About the role and team: As a Lead Data Engineer, you'll play a hands-on technical leadership role in our Data Practice. You'll be instrumental in shaping how we deliver data engineering … engagements, working closely with client stakeholders, internal teams and fellow consultants. You'll bring strong technical expertise, mentorship, and a practical approach to building scalable and value-driven data platforms. What you'll be doing: Leading the design and implementation of robust, cloud-native data platforms Architecting and optimising data pipelines and data models for performance and scalability Championing best practices across data engineering, including testing, automation, and documentation Mentoring junior engineers and guiding technical delivery across projects Working directly with client stakeholders to define goals, shape roadmaps and deliver real business impact Driving innovation through continuous improvement and staying ahead of industry trends We'd love to talk More ❯

Are you a passionate Data Engineering Manager ready to unlock the power of data? Our client is a leading UK-based consultancy seeking a skilled professional to shape data strategies, mentor dynamic teams, and deliver cutting-edge solutions. With hands-on expertise in Spark, SQL, and cloud platforms like Azure, you’ll lead end … to-end projects, drive innovation, and collaborate with clients across industries. What You’ll Do: Lead complex data engineering solutions with technical excellence. Mentor teams and foster a culture of growth and quality. Showcase your expertise in pre-sales and client workshops. Design data pipelines, lakes, and warehouses with best practices. Skills They're Looking For … Proven Data Engineering experience (5+ years). Consultancy experience is a must. Leadership and multi-project environments experience. Expertise in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points More ❯