17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
Open 6 months, first seen by us 187 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, build and maintain scalable data pipelines using SQL and Python
Lead integration of complex data systems and keep data consistent across platforms
Implement CI/CD practices for data pipelines
Oversee and mentor a team of data engineers
Develop data governance, security and compliance best practices
Design, build, and maintain scalable and robust data pipelines using SQL and Python
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
Oversee and manage a team of data engineers, providing guidance and mentorship
Develop and enforce best practices in data governance, security, and compliance within the organisation
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
3+ 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.
Experience in the leading large scale data engineering projects.
Qualifications - Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. - 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
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.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 187 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 187
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Artefact’s usual: its jobs come down by about day 36.
From 11,039 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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.
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. - 3+ 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.
Preferred Qualifications: - Certifications in Azure, AWS, or GCP. - Certifications in Databricks, Snowflake or similar technologies.
- Certifications in Azure, AWS, or GCP. - Certifications in Databricks, Snowflake or similar technologies. - Experience in the leading large scale data engineering projects.
- 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.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Qualifications
Preferred Qualifications:
Working Conditions
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17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
Working Conditions - Hybrid work arrangement: two-three days per week working from the office
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