Data Engineer

Responsibilities

• Gathering and interpreting requirements from stakeholders and translating these to technical designs.
• Creation of clear and comprehensive design documentation, detailing solutions for technical audiences across multiple teams.
• Collaborating with stakeholders and delivery personnel both within the team and across the wider business.
• Taking accountability and sharing responsibility for implementation of data solutions with the rest of the Data Engineering team.
• Reliable estimation and delivery of work in a fast-paced, commercial environment.
• Supporting the design and development of scalable, robust, secure data solutions, including ELT/ETL pipelines, data modelling, and point integrations with downstream systems.
• Working with Data Engineering & Architecture colleagues to support our Data Platform and deliver against our platform roadmap.
• Supporting adoption of best practices and continuous improvement to ensure our teams stay abreast of industrial standards.

Skills and Experience

• 2+ years experience delivering data solutions in a commercial environment.
• Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
• Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python).
• Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent.
• Good knowledge of SQL (including DML and DDL).
• Proven ability to quickly adapt to new technologies, concepts, and approaches.
• Experience creating technical documentation to a high standard across the full delivery cycle.
• Ability to break down technical concepts into plain English and communicate these to both technical and non-technical colleagues.
• Ability to accurately estimate work and deliver to agreed timescales.
• Confident verbal and written English.

Equal Opportunities

Requirements

• 2+ years experience delivering data solutions in a commercial environment.
• Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
• Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python).
• Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent.
• Good knowledge of SQL (including DML and DDL).
• Proven ability to quickly adapt to new technologies, concepts, and approaches.
• Experience creating technical documentation to a high standard across the full delivery cycle.
• Ability to break down technical concepts into plain English and communicate these to both technical and non-technical colleagues.
• Ability to accurately estimate work and deliver to agreed timescales.
• Confident verbal and written English.