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Senior Data Engineer

2 months ago


Edinburgh, Edinburgh, United Kingdom Lloyds Banking Group Full time

About this Opportunity

We are seeking a highly skilled Data Engineer to join our Payments Services Platform team at Lloyds Banking Group. As a Data Engineer, you will play a key role in delivering exciting customer-driven solutions and high-quality data products that showcase your technical, interpersonal, and communication skills.

Key Responsibilities

  • Work in cross-disciplinary teams to design and implement data warehouses, especially cloud-based solutions.
  • Develop and maintain complex data models, database designs, and indexing strategies to optimize data querying and storage.
  • Collaborate with stakeholders, external partners, and internal development teams to support the successful achievement of IT strategies.
  • Stay up-to-date with the latest developments in data technology and data engineering practices, and apply this knowledge to drive innovation and improvement.

Requirements

  • Strong expert-level experience with SQL for querying and transforming data.
  • Strong skills in data modeling, database design, indexing, query optimization, and storage optimization.
  • Experience in designing and implementing data warehouses, especially cloud-based solutions.
  • Experience with SoRs, SoIs, SoEs, and handling reference data.
  • Knowledge and experience of both RDBMS and NoSQL databases.
  • Proficiency in working with JSON and XML data formats.
  • Programming proficiency with stored procedures, Java, Python, or similar for scripting and automation.
  • Familiarity with Cloud platforms from a data perspective and migration of data to cloud.
  • Experience with data governance, data compliance, and security.
  • Experience with data visualization tools like Tableau.

Desirable Skills and Experience

  • Experience with Google data technologies, including BigQuery and Spanner.
  • Experience with DBT for data transformations and modeling.
  • Experience in Google Dataflow for data processing and ETL/ELT pipelines.
  • Knowledge of payment message formats, such as ISO20022.
  • Knowledge of big data technologies, including Hadoop, Kafka, and Apache Spark.

About Working for Us

We are committed to creating a values-led culture and building a workforce that reflects the diversity of our customers and communities. We believe in inclusivity and want our people to feel that they belong and can be their best, regardless of background, identity, or culture.

We offer a wide-ranging benefits package, including a generous pension contribution, an annual bonus award, share schemes, and a range of wellbeing initiatives and generous parental leave policies.