Snowflake Data Engineering Lead - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

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 reusable 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.