AI Summary
Fast-growing company seeks experienced Senior Data Engineer to work in Central London, mainly remote. The ideal candidate will have expertise in SQL, RDBMS, Python, and AWS.
Key Highlights
Collaborate with product managers and business stakeholders to understand complex business requirements
Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting
Create data governance policies and develop data models and schemas optimized for analytical workloads
Technical Skills Required
Benefits & Perks
Remote work
Opportunity to move upwards in the company
Job Description
Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, AWS, Part Central London, Mainly Remote
Senior Data Engineer (SQL, RDBMS, Python, AWS) required to work for a fast growing and exciting business based in Central London. However, this role is mainly remote.
We need an experienced Data Developer who is a good people person, working with client facing teams outside of Technology, and also mentoring more junior members of the team across Europe. As the company is fast growing, there will be an opportunity to move upwards at certain points throughout your journey. Read on for more details
Responsibilities
- Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well-designed and maintainable solutions
- Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines
- Create data governance policies and develop data models and schemas optimized for analytical workloads
- Influence the direction for key infrastructure and framework choices for data pipelining and data management
- Manage complex initiatives by setting project priorities, deadlines, and deliverables
- Collaborate effectively with distributed team members across multiple time zones, including offshore development teams
- Proven track record building scalable data pipelines (batch and streaming) in production
- Expert Python, PySpark, Celery and RabbitMQ skills; deep experience with AWS data stack (Glue, OpenSearch, RDS)
- Expert skills within SQLwith experience in both transactional RDBMS systems and distributed systems
- Hands-on with Lakehouse technologies (Apache Iceberg, S3 Tables, StarRocks)
- Strong grasp of data governance, schema design, and quality frameworks
- Comfortable leading infrastructure decisions and collaborating across distributed teams
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