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Data Engineer

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Join us as a Data Engineer

  • This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
  • Youll 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, youll deliver opportunities to support our strategic direction while building your network across the bank
  • Were recruiting for multiple roles across a range to levels, up to and including experienced managers
What youll doWell look to you to drive value for the customer through modelling, sourcing and data transformation. Youll 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. Well also expect you to be:
  • Delivering the automation of data engineering pipelines through the removal of manual stages
  • Developing comprehensive knowledge of the banks 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 youll needTo be successful in this role, youll need to be a programmer and Data Engineer with a qualification in Computer Science or Software Engineering. Youll also need a strong understanding of data usage and dependencies with wider teams and the end customer, aswell as a proven track record in extracting value and features from large scale data. Youll need knowledge of programming languages in data engineering such as Python or PySpark, SQL, Java, and Scala. And youll have an understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow. Youll also demonstrate:
  • Knowledge of messaging, event or streaming technology such as Apache Kafka, and of big data platforms such as Snowflake, AWS Redshift, Postgres, MongoDB, Neo4J and Hadoop
  • Good knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform and Microsoft Azure
  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
  • Extensive experience using RDMS and ETL pipelines
  • A good understanding of modern code development practices
  • Good critical thinking and proven problem solving abilities

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