Data Engineer 

This role is an opportunity to join a fast-growing UK-based organization that believes in using the latest cutting-edge technology. You will have the chance to collaborate with some of the brightest minds in the industry who harness the power of data to provide ground-breaking impact for our clients. Client – is a SaaS company that has built a next-generation data integration and analytics platform — a hyper-integration platform combining system integration, real-time data management, and advanced analytics to accelerate digital transformation for businesses.
As a Data Engineer you will be designing and building new features for our platform and integration as part of a cross-functional team, including real-time data pipelines, data lake/warehouses, and other innovative tooling. 

Experience / Skills: 

• 4+ years experience in Data Engineering/Architecture (or similar) 
• Knowledge of different data tooling and data stores 
• Proficiency in SQL & Python 
• Experience working with Spark (PySpark) or similar 
• Building data warehouses & data lakes (Ideally BigQuery) 
• Developing real-time Data/ETL pipelines 
• Orchestration frameworks such as Dataform, Airflow, and GCP Workflows 
• Cloud platforms, especially GCP services such as GCS, Cloud Functions, and Dataproc 
• Familiarity with containerization and IaC tools (e.g. Docker, Kubernetes, Terraform) 
• Worked within an agile environment (Scrum, Kanban, etc) 
• Previous experience in the retail domain or DataBricks is nice to have 
• Excellent communication and presentation skills 

Responsibilities:

• Work as part of a cross-functional squad to deliver new features using agile methodologies 
• Design and build data warehouses and data lakes 
• Implement data pipelines and complex data flows 
• Model and map client data, build views and materializations for BI/analytics 
• Data Quality engineering, implementing patterns that clean and enrich data in reliable ways 
• Contribute to peer reviews and engineering tooling, such as dataflow and terraform 
• Work with clients to analyse requirements and implement solutions 
• Help the company continuously improve by contributing to the wider data engineering community, as well as your squad 

We offer:  

• Competitive salary with the regular review  
• Vacation (up to 20 working days)  
• Paid sick leaves (10 working days)   
• National Holidays as paid time off  
• Flexible working schedule, remote opportunity  
• Direct cooperation with the customer   
• Dynamic environment with low level of bureaucracy and great team spirit   
• Challenging projects in diverse business domains and a variety of tech stacks   
• Communication with Top/Senior level specialists to strengthen your hard skills   
• Online teambuildings   
• Volunteering culture development and support.