17 of 17 BigQuery Jobs in South Wales

with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and More ❯

commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data More ❯

on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments. Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

Bing Webmaster Tools, SEMRush and Screaming Frog Experience analysing large datasets (e.g. server logs) to uncover insights and opportunities Knowledge of Python, SQL and BigQuery is desirable but not essential What's In It For You The expected range for this role is £35,000 - £50,000 This is More ❯

best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more More ❯

Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (MUST have experience in Snowflake and BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI More ❯

Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file More ❯

in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/ More ❯

in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/ More ❯

which includes several high-profile, household-name companies. What you'll bring: Experience with cloud and big data technologies (e.g., Spark, Databricks, Delta Lake, BigQuery). Familiarity with eventing technologies (e.g., Event Hubs, Kafka) and file formats such as Parquet, Delta, Iceberg. Want to learn more? Get in touch More ❯

ensuring alignment on strategic priorities. Key Skills & Experience Strong background in Power BI (including DAX, Power Query, and custom visuals). Proficient in SQL , BigQuery , and comfortable working across cloud and hybrid data environments. Experience leading enterprise reporting projects and automating insights across functions. Confident stakeholder engagement, with the More ❯

Job Description Company Overview: Wealthify is an ambitious, multi-award-winning online investment company located in Penarth, Wales. We’re here to inspire anyone to build their future wealth, and we do this by making investing easy, affordable, and accessible. More ❯

Senior Data Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD | GIS | Python One of SR2's longstanding clients has engaged us to support their search for a Data Engineer to join their team and elevate their data engineering practices and principles. This role is purely engineering … career progression for all staff. Skills required: Proven experience in a Data Engineering role. Experience with Cloud platforms – AWS and GCP preferred. Experience with BigQuery/Redshift is desirable. Understanding of different databases (Structured, non-relational, Graph, etc.). CI/CD experience. Python or Java experience is preferred. More ❯