Sql jobs in United Kingdom
Supply Chain Lead | AI, Automation, Demand Planning, Inventory Optimisation > D2C wellness ecom[...]
THE HACENS TALENT PTE. LTD.
Systems Analyst: ERP, HR & Finance Data Solutions (Hybrid)
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Square Enix
Senior Data Engineer
Job summary
A leading regulated financial services organization in Milton Keynes is seeking an experienced Senior Data Engineer to shape and implement cloud data engineering solutions. The successful candidate will utilize Snowflake and lead migrations of ETL processes while mentoring junior engineers. Required skills include strong knowledge of data engineering, Snowflake, and advanced SQL. The role offers flexible hybrid working and a competitive benefits package, including a bonus and pension contributions.
Benefits
Qualifications
- Strong experience in data engineering and data warehousing.
- Experience with Snowflake including performance tuning and optimization.
- Proficiency in Java, Scala, or Python.
- Advanced SQL skills essential.
- Experience with DBT and modern data pipeline tools.
- Strong knowledge of file formats (ORC, Parquet, AVRO).
- Experience with DevOps practices and containerization technologies.
- Proven track record of stakeholder management.
- Experience working in regulated environments.
- Familiarity with Apache Kafka, Spark, or similar technologies.
- Knowledge of machine learning and AI integration.
- Experience with Agile methodologies.
Responsibilities
- Design and implement cloud data pipelines using Snowflake.
- Lead the migration of on-premises ETL processes to cloud services.
- Develop and optimize data models for scalability and performance.
- Translate business requirements into technical solutions.
- Mentor junior engineers and contribute to team development.
- Drive improvements in data engineering processes.
Skills
Education
Location: Milton Keynes (flexible hybrid working)
A leading regulated financial services and insurance organization is seeking an experienced Senior Data Engineer to play a key role in their cloud transformation journey. This is an excellent opportunity to shape and implement data engineering solutions while working with cutting-edge technologies.
- Design and implement cloud data pipelines using Snowflake and modern data engineering tools
- Lead the migration of on-premises ETL processes to cloud services
- Develop and optimize data models, ensuring scalability and performance
- Work with stakeholders to translate business requirements into technical solutions
- Mentor junior engineers and contribute to team development
- Drive improvements in data engineering processes and systems
- Strong experience in data engineering and data warehousing
- Strong expertise in Snowflake, including performance tuning and optimization
- Proficient in Java or Scala or Python
- Advanced SQL skills
- Experience with DBT and modern data pipeline tools
- Strong knowledge of file formats (ORC, Parquet, AVRO) and optimization techniques
- Experience with DevOps practices and containerization technologies
- Proven track record of stakeholder management
- Experience working in regulated environments
- Experience with Apache Kafka, Spark, or similar technologies
- Knowledge of machine learning and AI integration
- Experience with Agile methodologies
- Cloud certifications (AWS, Snowflake)
- 10% bonus
- Excellent 10.5% company pension contribution
- Comprehensive healthcare package
- Flexible working arrangements
- Modern tech stack and innovation-focused environment
This is an exceptional opportunity to join a forward-thinking organization where you'll have the chance to shape the future of data engineering while working with the latest cloud technologies.
To apply or learn more about this position, please submit your application.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.