6 of 6 Remote Data Engineer Jobs in Glasgow

Senior Data Engineer Contract Location: Glasgow (Hybrid 3 days per week on-site) Duration: 6 Months Day Rate: Competitive Sector: Financial Services Overview: Were looking for a highly skilled Senior Data Engineer to join a leading financial services organisation on a 6-month contract. Youll be working on a hybrid basis from their Glasgow office … days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial More ❯

Senior Data Engineer – Contract Location: Glasgow (Hybrid – 3 days per week on-site) Duration: 6 Months Day Rate: Competitive Sector: Financial Services Overview: We’re looking for a highly skilled Senior Data Engineer to join a leading financial services organisation on a 6-month contract. You’ll be working on a hybrid basis from their Glasgow … office (3 days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust … data solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in More ❯

Role: Data Engineer Location: Glasgow (Hybrid, 3 days onsite) Contract: 06-12months with possible extensions (No Sponsorship Available ) Skills/Qualifications: · 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. · 3+ years hands-on experience with cloud services, especially Databricks, for building and … managing scalable data pipelines · 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions · 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. · Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices … work collaboratively in a fast-paced, dynamic environment. · Experience with code versioning tools (e.g., Git) · Knowledge of Linux operating systems · Familiarity with REST APIs and integration techniques · Familiarity with data visualization tools and libraries (e.g., Power BI) · Background in database administration or performance tuning · Familiarity with data orchestration tools, such as Apache Airflow · Previous exposure to big data More ❯

Hello there, Greetings from INFOPLUS TECHNOLOGIES!!! We are looking for "Data Engineer". Job Details: Job Title: Data Engineer Location: Glasgow Mode : 3 days WFH Relevant Experience Required: 5+ Years min Job Description: You will be responsible for: • Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes … using Python and DataBricks • Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs. • Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency. • Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations • Working in an … to streamline repetitive tasks. • Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes • Utilizing REST APls and other integration techniques to connect various data sources • Maintaining documentation, including data flow diagrams, technical specifications, and processes. You Have: • Proficiency in Python programming, including experience in writing efficient and maintainable code. • Hands-on experience More ❯

days on-site) Contract Length: Until 31/12/2026 Day Rate: £447.50 (PAYE via Umbrella) About the Role We are seeking a highly skilled AWS Lead Data Engineer to join a long-term data engineering and cloud modernization programme. The role involves designing, building, and maintaining data systems—including pipelines, data lakes, and … data warehouses—ensuring they are secure, scalable, and high performing. Depending on skill set, you will either focus on developing AWS-based data engineering pipelines or support large-scale cloud migration efforts into Databricks. UI development experience and AWS CloudFormation are essential requirements. Key Responsibilities Lead the design and delivery of production-grade data engineering solutions. Build … optimise, and maintain large-scale data pipelines. Develop and enhance data lakes and data warehouses. Implement scalable SQL and Python/PySpark-based solutions. Use orchestration tools such as Airflow and AWS Step Functions. Analyse current processes and propose end-to-end technical improvements. Engage with stakeholders to translate business needs into technical designs. Support migrations into More ❯

About the Role: We are looking for Data Engineer for Glasgow location. Mode of Work - hybrid Databricks being (primarily) a Managed Spark engine – strong Spark experience is a must-have. Databricks (BigData/Spark) & Snowflake specialists – and general Data Engineer skills, with RDBMS Fundamentals, SQL, ETL. More ❯