Climate Data Engineer - London, United Kingdom - eFinancialCareers

eFinancialCareers
eFinancialCareers
Verified Company
London, United Kingdom

1 week ago

Tom O´Connor

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Tom O´Connor

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Description
Join us as a Climate Data Engineer

  • 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 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 drive value for the customer through modelling, sourcing and data transformation.

You'll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in thedelivery of data engineering.


We'll also expect you to be:

  • Delivering the automation of data engineering pipelines through the removal of manual stages
  • Developing comprehensive knowledge of the bank's data structures and metrics, advocating change where needed for product development
  • Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
  • Delivering data engineering strategies to build a scalable data architecture and customer feature rich dataset for data scientists
  • Developing solutions for streaming data ingestion and transformations in line with streaming strategy

The skills you'll need

To be successful in this role, you'll need to be an intermediate 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 andthe end customer, as well as a proven track record in extracting value and features from large scale data.


You'll also demonstrate:

  • 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
  • A good understanding of modern code development practices
  • Familiarity with core components of our data pipeline (Snowflake, AWS, DBT, DGF, Airflow)
  • Experience of working in cloud and big data is essential
  • Knowledge of climate data sets and vendors would be an advantage
It would be ideal if you have experience of using Oracle, Unix scripting, Java, cloud, API, NoSQL and Kafka.
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