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Location: London, The Leather Market, LM.11.2.1, Weston Street, London, GB EC4A 3BG

Ref: BBBH4733

Type: Permanent

This is an exciting opportunity working within a growing Data team for a well-known brand in central London (hybrid).

In this role, you will ensure efficient Data Warehouse management with a strong analytical focus, helping the business to reach data-driven decisions for growth.

Day to Day:

• Design, build, and maintain scalable data pipelines and ETL processes to ensure efficient and reliable data flow across the organisation.
• Implement and monitor data validation and testing processes to ensure accuracy, consistency, and reliability.
• Work closely with data scientists, analysts, and stakeholders to understand their needs and translate them into actionable data solutions.
• Continuously optimise data infrastructure and workflows for performance, scalability, and cost-efficiency.
• Create and maintain comprehensive documentation for data pipelines, processes, and systems.
• Stay updated with the latest industry trends, tools, and technologies in data engineering and analytics to drive innovation and improvements.
• Provide technical support and troubleshooting for data-related issues and queries from various teams.
• Ensure compliance with data governance policies and best practices, including data privacy and security standards.

About You:

• You have a strong analytical mindset and enjoy tackling complex data issues.
• Strong attention to detail and are committed to ensuring data accuracy and quality.
• You thrive in team environments and are able to communicate effectively with technical and non-technical stakeholders.
• You are proactive and able to manage multiple tasks and projects efficiently.
• You are flexible and open to learning new tools and technologies as the industry evolves.

Technical Skills:

• Proficiency in SQL and one or more programming languages such as Python, R, or Java.
• Data Warehousing solutions such as Snowflake, Redshift, or BigQuery.
• Hands-on experience with ETL tools and frameworks such as Apache Airflow, DBT, or Talend.
• Familiarity with data visualisation tools like Tableau, Looker, or Power BI.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure (preferably experience with at least 2).
• Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Understanding of APIs and experience with data integration.

If you're interested in playing a pivotal role in revolutionising data analysis processes with opportunities for personal and professional development, apply now by sending in your CV!

Diversity, equity, and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability, or any other status protected by law.

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