Position: Analytics Engineer
Location: SE1, London
Salary: £40,000 - £55,000 per annum
Reports to: Data Analyst
Department: Category & Product
Type: Full-time in office
Position Overview:
We are looking for a skilled and motivated Analytics Engineer with a blend of data engineering and data analytics skills. The ideal candidate will have experience with SQL, data visualization, database management, and modern data stack tools. You will play a crucial role in designing, developing, and maintaining our Azure-based data infrastructure, while also providing actionable insights to support data-driven decision-making across the organization.
Responsibilities:
- Design, develop, and maintain robust data pipelines using Azure Data Factory.
- Implement data integration solutions to connect various cloud-based systems.
- Ensure data quality and consistency through effective data transformation and cleansing processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Monitor and optimize data workflows for performance and efficiency.
- Troubleshoot and resolve data-related issues in a timely manner.
- Document data engineering processes and workflows to ensure maintainability and knowledge sharing.
- Analyse data and generate actionable insights to support company decision-making.
- Contribute to strategic planning and assist with the direction of data-driven initiatives.
- Stay up-to-date with industry trends and best practices in data engineering and cloud technologies.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 1-3 years of experience as a Data Engineer, preferably within a Microsoft stack environment.
- Proficiency in Azure Data Factory and experience with other Azure services (e.g., Azure SQL Database, Azure Data Lake, Azure Databricks).
- Strong SQL skills and experience with relational databases (e.g., SQL Server).
- Experience with data modelling, ETL processes, and data warehousing concepts.
- Knowledge of data governance, data quality, and data security best practices.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications
- Experience with other Azure data services
- Familiarity with programming languages such as Python, C#, or Java.
- Familiarity with DevOps practices and tools (e.g., Azure DevOps, Git).
- Understanding of big data technologies and frameworks (e.g., Hadoop, Spark).
- Experience with PowerBI or other data visualization software.
Benefits:
- Annual discretionary bonus
- Unlimited coffee - Barista made from any of our stores
- 50% discount on food & smoothies from any of our stores
- Free breakfast in the office and commercial coffee machine
- Quarterly team socials and a fully stocked drinks fridge
We are a relatively young company with a very ambitious future. We work hard and we play hard too. Our summer and Christmas parties are not to be missed!
About Black Sheep Coffee:
Founded in 2013 when a group of friends decided to quit their jobs on the same day to “Leave The Herd Behind” and embark on a coffee mission of ridding the world of boring, average-tasting coffee. Black Sheep Coffee is famous for launching the first 100% specialty grade Robusta coffee and the only premium Robusta bean on the market (X2 caffeine – get your buzz on!).
Our Founders, Gabriel and Eirik, travel to origins throughout the year to source the best beans in the world. In fact, we are one of the few shop retailers that purchase our beans directly at the plantations, looking after the picking, drying, and washing process according to the strictest of guidelines – all in search of the perfect bean.
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