10 of 10 Prefect Jobs in the UK excluding London

Engineer , Data Manager, or similar leadership role. Strong proficiency in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of More ❯

tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working (3 in office) Opportunity to lead and mentor within More ❯

for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly and effectively across the data platform.* Work with orchestration tools such as Airflow, ADF, or Prefect to schedule and automate workflows.* Keep abreast of industry trends and emerging technologies in data engineering, and continuously improve your skills and knowledge. Profile * Minimum 3 years' experience working as More ❯

and Snowflake performance tuning. Hands-on expertise with Fivetran and dbt. Good understanding of data modelling, governance, and security best practices. Familiarity with orchestration tools such as Airflow or Prefect (advantageous). Experience working in Azure (or AWS/GCP). Strong analytical and collaboration skills, with great attention to detail. A degree in Computer Science, Data Engineering, or relevant More ❯

data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools. Proficiency in Git, CI/CD, and scripting with Python. Excellent communication skills and ability to work collaboratively across technical and business teams. More ❯

years' experience as a Data Engineer Strong SQL and Python skills Proven experience building modern ETL/ELT pipelines (dbt experience ideal) Experience with data orchestration tools (Prefect preferred) Understanding of data modelling , especially event-driven architectures Knowledge of modern data engineering development practices Nice to have: Background in InsurTech/FinTech or regulated industries Experience with Docker , containerisation, and More ❯

and collaborate across teams. What We're Looking For: Proven experience with BigQuery, dbt/dataform, and Tableau. Strong SQL and modern data architecture knowledge. Familiarity with orchestration tools (Prefect, Airflow), Git, CI/CD, and Python. Excellent communication and stakeholder engagement skills. Ready to make an impact? Apply now More ❯

data workflows, optimize performance, and ensure reliability across cloud platforms-while guiding teams with strong technical leadership.Key Responsibilities* Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster.* Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS).* CI/CD for Data: Implement and maintain automated pipelines for data applications. … Terraform and Ansible to provision and manage data infrastructure.* Performance Optimization: Enhance data processing for speed, scalability, and reliability.What We're Looking For* Strong experience with orchestration tools (Airflow, Prefect, Dagster).* Expertise in Docker and Kubernetes.* Solid understanding of CI/CD principles and tooling.* Familiarity with open-source data technologies (Spark, Kafka, PostgreSQL).* Knowledge of Infrastructure as … application with you before presenting it to any potential employer.Please note we are on the client's supplier list for this position.KeywordsLead DataOps Engineer, DataOps, Data Pipeline Automation, Airflow, Prefect, Dagster, Docker, Kubernetes, EKS, AKS, CI/CD, Terraform, Ansible, Grafana, Prometheus, Spark, Kafka, PostgreSQL, Infrastructure as Code, Cloud Data Engineering, Hybrid Working, Security Clearance, Leadership, DevOps, Observability, Monitoring. More ❯

needed). The Role Build and optimise scalable data pipelines for a new Data Lake Work with Python, SQL, Spark, AWS, Docker, CI/CD Orchestrate workflows using Airflow, Prefect, or Dagster Support ETL, API integrations, and high-quality data validation Translate business needs into technical solutions with full ownership What You Need STEM degree (Computer Science, Engineering, Maths, etc. … years in data engineering/analytics/software Strong Python + SQL 2+ years ETL, APIs, CI/CD, Docker, AWS Ideally but not essential experience with Airflow/Prefect/Dagster Background in Financial Services, FinTech, Insurance, PE/VC, or Banking Package & Benefits High performance bonus 25 days holiday Pension & private healthcare Join at inception - shape the team More ❯

the UK). 3 week contract opportunity, for a Python Developer with significant experience of working with data retrieval - an excellent opportunity to develop your skills with PostHog and Prefect click apply for full job details More ❯