Senior Data Engineer in Slough

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform.
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in leading large scale data engineering projects.

Why Joining Artefact?

• Build the Future of Data & AI - Join one of the fastest-growing global data consulting companies and help leading organisations transform through data and AI.
• Accelerate Your Growth - Work on cutting-edge projects with modern technologies including AI, Machine Learning, Cloud, and DevOps, while continuously developing your technical, consulting, and leadership skills.
• Collaborative Culture - Be part of a diverse, international, and action-oriented team of experts across data, consulting, engineering, and digital marketing.
• Entrepreneurial Environment - We value initiative, innovation, and ownership. Your ideas matter, and you’ll have the opportunity to make a real impact from day one.

Benefits

• Hybrid working model with flexible working hours.
• 25 days annual leave, plus bank holidays, birthday day off, and up to 5 additional days based on length of service.
• Healthcare and wellbeing support.
• Subsidised gym membership and bike-to-work scheme.
• Pension scheme and life assurance.
• Enhanced family-friendly policies.
• Ongoing learning, development, and certification opportunities.
• Regular social events and employee referral bonuses.

Working Conditions

Hybrid work arrangement: two days per week working from the office.