Data Engineer

📍 Location: UK (Remote working role)

💰 Salary: £40,000 – £50,000 DOE

🕒 Full-Time | Permanent

Company Description

Lookthru specialises in delivering data-driven solutions that optimize processes and improve decision-making for businesses of all sizes, from startups to enterprises. By leveraging cutting-edge technology like Azure, AWS, Power BI, and advanced ETL pipelines, Lookthru simplifies data consolidation, strategy, and visualization. The company ensures reduced manual dependencies and provides scalable, dynamic and long-term solutions tailored to client needs.

Role Description

This is a full-time remote role for a Data Engineer. This is an exciting opportunity for someone passionate about building scalable data platforms, optimising pipelines and delivering high-quality data solutions that drive real business value.

The Data Engineer will design, build and maintain scalable data pipelines and data architecture. Responsibilities include crafting and optimising ETL processes, developing and maintaining robust data models, enabling data warehousing and performing in-depth data analysis to facilitate informed decision-making. Collaboration with cross-functional teams and adherence to cloud-based solutions like Azure or AWS will be key to success in this role.

Qualifications

• Expertise in Data Engineering, including experience in building, maintaining, and optimizing data pipelines
• Experience with Microsoft Fabric, Azure Synapse and/or Databricks
• Proficiency in Data Modelling and ensuring data structured optimally for reporting and insight generation
• Strong understanding of ETL/ELT processes and best practices
• Strong experience in Data Warehousing, including design, implementation, and maintenance of centralised data repositories
• Familiarity with Data Analytics frameworks and tools, such as Power BI.
• Knowledge of database management systems like MS SQL, PostgreSQL, or MySQL (cloud and on-premise environments)
• Ability to architect cloud-based solutions with platforms such as Azure or AWS
• Strong problem-solving skills and the ability to collaborate effectively in a team environment
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Experience in process automation tools like Power Automate, MS Flow, or Azure Logic Apps is a plus
• Strong communication skills and ability to translate business needs into technical strategies

Desirable

• Experience with Azure Data Factory

• Knowledge of PySpark, Python, or Spark

• Exposure to Power BI and downstream reporting solutions

• Understanding of medallion architecture / lakehouse concepts