Senior Data Engineer (R23750)

What You'll Do

Our teams are growing rapidly and we’re hiring a DataOps Engineer to take our products to the next level of scale.  Use your experience in data engineering to help define Data as a Product, and bring your expertise to improve not just the product itself but the client experience, leveraging data, from ETL to the presentation layer.  You will work closely with your Tech Lead and the other engineers in your team to define the appropriate technical approach, metrics, and timelines. You will have your say in the product roadmap and help the team and the Product Manager to make the most informed decisions to break down complex tech deliverables into simple and understandable user stories. You will drive collaboration, gather feedback, solve problems, and tackle challenges through tests and learning.  Quality is key for us, so you will ensure all product components are built to an appropriate level of quality for the stage (alpha/beta/production), deliver products using the appropriate level of testing and monitoring, fail fast, and learn and iterate frequently. You will champion continuous improvement and always aim to improve the product your team owns and measure your impact with the appropriate tech, product, or delivery metrics.

In this role, you will 

• Work across the full stack depending on where you can drive the highest impact: from ETL pipelines to data warehousing to visualisations, as well as testing and cloud infrastructure.
• Work with your team to design and implement features and services for the data analytics solution, and keep the design choices well-documented and explained
• Use your experience in data management and governance to define and implement best practices across our systems ensuring security, consistency and quality across all of our data.
• Train/mentor other Data engineers on Data engineering best practices
• Use your experience to create/improve predictive data quality
• Champion the DataOps culture, treat operations with a mission-critical mindset, and support data systems in production, including participation in our out-of-hours on-call rota
• Communicate with customers to discuss new use cases or help them identify and fix data issues, as well as manage the end-to-end setup for them: from raw data analysis, to defining and implementing data ingestion/enrichment pipelines to creating data visualisations

What we’re looking for

• Good understanding of Data pipeline design and implementation using Airflow (or another job management tool) and Python (or Python derivative, like PySpark)
• Good visualization skills using Tableau and/or other visualisation tools
• Good experience with SQL 
• Good understanding of Data management and/or Data governance (making sure the data is of expected volume, schema, etc.)
• Good understanding of microservices architecture principles
• Experience with Snowflake (or another columnar database)
• Exposure to AWS or other cloud provider
• Exposure to Databricks

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.