Senior Data Engineer- Glasgow

Responsibilities:

• 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 agile environment, participating in sprint planning, daily stand-ups, and retrospectives.
• Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high quality.
• Developing and maintain tooling and automation scripts to streamline repetitive tasks.
• Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes
• Utilizing REST APIs and other integration techniques to connect various data sources
• Maintaining documentation, including data flow diagrams, technical specifications, and processes.

• Proficiency in Python programming, including experience in writing efficient and maintainable code.
• Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines
• Proficiency in working with Snowflake or similar cloud-based data warehousing solutions
• Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices
• Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
• Experience with code versioning tools (e.g., Git)
• Meticulous attention to detail and a passion for problem solving
• 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 technologies (e.g., Hadoop, Spark) for large data processing
• Experience with ServiceNow integration

We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 3,500 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index. 

Diversity and Inclusion  

FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Why join us

• Career coaching, mentoring and access to upskilling throughout your entire FDM career
• Assignments with global companies and opportunities to work abroad
• Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
• Annual leave and work-place pension