Lookthru
Lead Data Engineer - Fixed-term contract
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Location: UK only (Remote working role) Salary: £50,000 – £60,000 DOE Full-Time | Fixed-term contract 9 months
Company Description
Lookthru specializes 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 Lead Data Engineer. This is a hands-on leadership role suited to someone who enjoys designing modern data platforms while mentoring other Data Engineers and helping shape technical best practices across the business.
You'll take ownership of the architecture and delivery of cloud-based data solutions, working closely with clients, analysts, and developers to build robust, scalable data platforms. Alongside remaining technically hands-on, you'll provide technical leadership, support solution design, review implementations, and help develop our data engineering capability as the company grows.
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Key Responsibilities
- Lead the design and delivery of modern cloud-based data platforms using Microsoft Fabric, Azure, and AWS technologies.
- Architect scalable, secure, and maintainable data solutions for a variety of clients.
- Design, build, and optimize high-performance ETL/ELT pipelines.
- Develop robust data models, lakehouse, and warehouse solutions using industry best practices.
- Provide technical leadership across projects, ensuring high standards of engineering quality.
- Mentor and support Data Engineers through coaching, code reviews, and knowledge sharing.
- Collaborate with clients and internal stakeholders to understand business requirements and translate them into technical solutions.
- Define and promote engineering standards, governance, and best practices.
- Lead technical discussions, solution workshops, and architecture reviews.
- Troubleshoot complex data issues and identify opportunities for optimization.
- Support project planning, estimation, and technical decision-making.
- Stay up to date with emerging technologies and help drive innovation across the business.
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Skills & Experience
- Extensive experience in Data Engineering, designing, and delivering enterprise-scale data platforms.
- Strong experience with Microsoft Fabric, Azure Synapse Analytics, and/or Databricks.
- Excellent understanding of data architecture, modern lakehouse and warehouse design principles.
- Strong expertise in ETL/ELT development and optimization.
- Experience designing scalable data models for analytics and reporting.
- Strong SQL skills across Microsoft SQL Server, PostgreSQL, or MySQL.
- Experience with cloud-native data services within Azure and/or AWS.
- Experience developing solutions using Azure Data Factory or Microsoft Fabric Data Factory.
- Strong Power BI knowledge, including understanding downstream reporting requirements.
- Experience with Python and/or PySpark.
- Excellent understanding of data governance, security, and performance optimization.
- Strong communication skills with the ability to engage both technical and non-technical stakeholders.
- Proven ability to lead technical delivery across multiple projects.
- Experience mentoring or leading other engineers.
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