Senior Data Engineer at Yü Group responsible for leading data engineering team and optimizing data solutions within the energy sector.
About the role
- Junior Data Engineer at Bionic building reliable data solutions and collaborating with senior engineers. Engaging with modern data platforms like AWS and Snowflake in a supportive environment.
Responsibilities
- Build and maintain batch data pipelines across AWS, Snowflake and dbt
- Develop and improve dbt models and tests to keep our data accurate and consistent
- Monitor scheduled jobs and data quality checks, investigating issues when things go wrong
- Troubleshoot pipeline failures and performance problems, learning from post-mortems
- Work closely with Analytics and Salesforce teams to understand requirements and turn them into technical solutions
- Contribute to documentation, version control and code reviews
- Follow secure engineering practices when handling sensitive data
- Help design and maintain analytics-ready data models, including clear fact and dimension tables
Requirements
- Experience building or supporting data pipelines, reporting datasets, or ETL/ELT processes
- Strong problem-solving skills, with the ability to debug issues and clearly explain your approach
- Good SQL capability (joins, aggregations, basic window functions) and confidence writing data transformations
- Working knowledge of Python for data tasks (scripts, automation, APIs/files), with appetite to deepen skills
- Familiarity with Snowflake or similar cloud data warehouses (queries, compute, roles/access basics)
- Ability to work in a structured delivery environment (tickets, priorities, deadlines)
- A collaborative mindset, be coachable, and open to feedback through pairing, reviews, and mentoring
- Ability to navigate ambiguous requirements, ask smart questions, and iterate towards solutions
- Exposure to BI tools such as Tableau (or similar) and how data is used for reporting
Benefits
- Private healthcare cover
- Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies
- Eyecare scheme
- 25 days annual leave plus the 8 UK bank holidays, increasing with tenure
- 1 paid family/religious day of leave per year - following successful probation period
- 1 paid charity volunteering day per year
- Option to buy/sell up to an additional 3 days leave per year
- Enhanced maternity, paternity or shared parental leave
- 2 days off for your wedding upon joining, and up to 5 days after 2 years' service
- Flexible working options & a hybrid work approach
- Auto-enrolled salary sacrifice pension scheme
- Life assurance
- Season ticket Loans, salary advances & loans to buy/rent a home – based on tenure
- Cycle to work scheme
- Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success
- Company summer & Christmas party celebrations, business and local zonely & annual awards and recognition
- Long service awards
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer managing payment processing and data accuracy while collaborating with financial teams. Building and optimizing data pipelines for transactional data in a hybrid work environment.
Data Engineer building analytical tools for Dry Bulk market data operations at Kpler. Join a team of over 700 experts transforming data into actionable strategies.
Data Engineer developing tools for maintaining data integrity in cargo tracking at Kpler. Collaborating with analysts and engineers to enhance data quality management.
Lead Azure Data Engineer designing and optimizing data ecosystems on Microsoft Cloud. Responsible for building scalable data platforms and pipelines for analytics and reporting.
Data Engineer providing support for IBM DataStage ETL jobs at Callibrity. Collaborating with stakeholders and working to modernize technology solutions in a hybrid work environment.
Cloud Data Engineer implementing tailored solutions for Volkswagen Group data processing. Building ETL/ELT pipelines while collaborating with technical experts.
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.