13 of 13 Permanent Prefect Jobs in Slough

platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code. Strong problem-solving skills and the ability to More ❯

experience is considered, however Azure exposure is essential. Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security. Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects. More ❯

SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline More ❯

skills — able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

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 ❯

in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data More ❯

. Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. More ❯

. Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. More ❯

data modeling concepts (star/snowflake schemas, normalization). Experience with version control systems (e.g., Git) and CI/CD practices. Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible More ❯

Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit someone who is technically strong, logical, and ambitious, with the maturity to take ownership in a More ❯

intelligent information retrieval, with experience in RAG (Retrieval-Augmented Generation), vector databases, and embedding models for knowledge extraction. You can architect complex workflows using orchestration tools such as Airflow, Prefect, or Temporal, or by building bespoke pipeline systems for multi-step autonomous processes. You bridge science and engineering — comfortable with scientific computing libraries (NumPy, SciPy, pandas) and familiar with scientific More ❯

Lead Data Scientist Initial 6 month Contract | 4 days onsite (London) 1 day remote We currently are looking for a Lead Data Scientist to join an exciting project with our consultancy client. You’ll combine deep energy market expertise with More ❯