Snowflake Data Engineering Lead

1 month ago

London, United Kingdom eFinancialCareers Full time

Join us as a Snowflake Data Engineering Lead
- This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
- You'll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers' and the bank's data safe and secure
- Participating actively in the data engineering community, you'll deliver opportunities to support our strategic direction while building your network across the bank

**What you'll do**
We'll look to you to lead and inspire a team of data engineers to drive value from data for the customer. You'll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving data engineering strategies tobuild a scalable data architecture and customer feature rich dataset.
We'll also expect you to be:

- Driving the automation of data engineering pipelines through the removal of manual stages
- Developing and sharing your knowledge of the bank's data structures and metrics, advocating change where needed for product development
- Developing a strategy for streaming data ingestion and transformations
- Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
- Driving Agile and DevOps adoption in the delivery of data engineering

**The skills you'll need**
To be successful in this role, you'll need to be an expert level programmer and Data Engineer with a qualification in Computer Science or Software Engineering. You'll also need a strong understanding of data usage and dependencies with wider teams and the endcustomer, as well as extensive experience in extracting value and features from large scale data.
You'll also demonstrate:

- Experience of delivering enterprise re-usable data assets in Snowflake
- Data vault modelling and Apache Spark experience
- Engineering manager experience and an understanding of how to lead a small feature team
- Experience working in a scaled agile framework
- Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
- Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL

It would be ideal if you have experience of using Oracle, Unix scripting, Java, cloud, API, NoSQL and Kafka.

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