Senior Data Engineer

Artefact; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Artefact seeks a Senior Data Engineer to lead data projects with Python/SQL pipelines, Databricks, Snowflake, and cloud tools. You will mentor engineers, implement CI/CD, and drive governance, security, and performance across platforms.

You will collaborate with architects, analysts, and stakeholders to translate business needs into robust data solutions. This role offers a hybrid work model with growth across data, AI, and cloud capabilities.

Qualifications

• 4+ years of industry experience in data engineering with strong SQL, Python, and big data tech.
• Experience with cloud-native orchestration tools and distributed processing frameworks.
• Experience with Infrastructure as Code tooling such as Terraform.
• Knowledge of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving and ability to work with ambiguity.
• Proficient in AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Understanding of data mesh, lake, warehouse, and lakehouse architectures.

Responsibilities

• Design, build, and maintain scalable data pipelines using SQL and Python with Databricks, Snowflake, and cloud tools.
• Lead integration of complex data systems ensuring data consistency across platforms.
• Implement CI/CD practices for data pipelines to improve efficiency and quality.
• Collaborate with data architects and analysts to translate business needs into implementations.
• Oversee and mentor a team of data engineers to deliver high-quality projects.
• Develop and enforce data governance, security, and compliance practices.
• Optimize data retrieval and develop dashboards and reports for business teams.
• Evaluate new technologies to enhance the data engineering function.

Skills

SQL

Python

Databricks

Snowflake

Azure Data Factory

AWS Glue

Apache Airflow

PySpark

CI/CD

DevOps

Leadership

Data Mesh / Data Lake / Data Warehouse

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Terraform

Job description

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. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

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 the 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.

Be part of a diverse, international, and action-oriented team of experts across data, consulting, engineering, and digital marketing.

We value initiative, innovation, and ownership. Your ideas matter, and you’ll have the opportunity to make a real impact from day one.

Working Conditions

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