Senior Data Engineer

Job Summary

The Senior Data Engineer will be responsible for the maintenance and enhancements of the data estate across the business, whilst supporting the day to day activities of the wider data team.

Reporting to the UK based Group Data Controller and working alongside the Technology teams with maintaining & enhancing current data systems in the chosen tech stack of the business, this includes data request, producing automated datasets, developing and maintaining new and existing data movement processes including ETLs and real time event data processing.

Responsibilities

Database Management & Enhancement

• Maintain & enhance existing transactional databases to ensure high data quality and performance.
• Data Warehouse Management ensuring the data warehouse contains all relevant sources of data from across the business, adding additional data sources where gaps are identified.
• Refine and review the current database structures implementing efficiency improvements to manual processes.
• Ensure best practices are used for database performance & data validation techniques.
• Ensure all code changes are stored in the source control system, reviewing code and suggesting code improvements where applicable.

ETL Processes

• Maintain current ETL processes and address any anomalies within the current processes.
• Lead the removal of legacy data movement processes into the chosen architecture ensuring best practices are used throughout the processes.
• Document new ETL processes at point of creation gaining feedback from other data team members.
• Continuous reviews of current ETL processes to ensure security and most efficient and cost-effective solutions are in place for all data movement throughout the business.

Data Governance

• Ensuring all data processes and data stores have fully up-to-date documentation to capture the types of data stored.
• Support the data protection team with requests and process amendments.
• Processes confidential data and personal data according to legislations of each country UP Fitness operates in.
• Compile and update documentation around the data estate for non-technical stakeholders to consume and understand the different data sources.

Data Analytics

• Assist the Group Data Controller with the rollout of Data Science & Machine Learning into the business.
• Produce Datasets of high quality for data analytical & reporting purposes ensuring template scripts can be reused by all data team members.
• Involvement in key decisions around dataset usage across the data estate including reporting and analytical datasets.
• Increase the quality of the data available to other teams within the business for further analytical processes to be carried out.

Qualifications, Skills and Experience

• 7+ years of Data engineering experience
• A bachelors degree in data management, data engineering, data science, or a related field.
• Certified in AWS or any other Data related technologies.
• Previous experience in Data Engineering Role.
• Experience with AWS & SQL server data tools.
• Experience in developing scalable and efficient ETL processes to move data around the estate.
• Mentoring Experience of Data Team members.
• Experience in Lambdas, Event Bus, Python
• Strong attention to detail to ensure accuracy.
• Effective communication and interpersonal skills
• Strong verbal and numerical skills
• Integrity, confidentiality, and ethical conduct in handling sensitive information and adhering to professional standards and regulations.
• Evidence of complex data problem solving skills
• Experience interacting with employees, managers, and documenting policies and procedures.
• Strong knowledge of database design & performance tuning techniques
• Solid understanding of data movement, data security & meta data.
• Power Platform knowledge in a production environment
• Data Science & Machine Learning Methods

Softskills

• Excellent communication and stakeholder management skills.
• Ability to mentor and coach teams, driving adoption of best practices.
• Strong problem-solving mindset with a focus on scalable solutions.
• Proactive, collaborative, and comfortable in fast-paced agile environments.

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