26 to 50 of 270 BigQuery Jobs in England

is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design More ❯

much more Key Responsibilities Develop and maintain ETL/ELT data pipelines using Python and SQL. Work with enterprise-level cloud platforms, ideally GCP (BigQuery, Airflow, Cloud Functions). Integrate APIs and process data from multiple sources. Design and optimise data warehouses and reporting systems. Build reports and dashboards More ❯

fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow More ❯

fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow More ❯

databases. Hands on experience working with visualization tools including ThoughtSpot, Power BI or Tableau. Familiarity with leading cloud-based data warehouses such as Azure, BigQuery, AWS Redshift, or Snowflake. Strong analytical and problem-solving abilities to address complex data challenges. Detail-oriented mindset with a focus on data accuracy More ❯

and data governance practices, with an emphasis on scalability and compliance in research environments. Enterprise exposure to data engineering tools and products (Spark, PySpark, BigQuery, Pub/Sub) with an understanding of product/market fit for internal stakeholders Familiarity with cloud computing environments, including but not limited to More ❯

with Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Excellent communication skills More ❯

and data governance practices, with an emphasis on scalability and compliance in research environments. Enterprise exposure to data engineering tools and products (Spark, PySpark, BigQuery, Pub/Sub) with an understanding of product/market fit for internal stakeholders Familiarity with cloud computing environments, including but not limited to More ❯

for workflow orchestration. Strong experience in Python with demonstrable experience in developing and maintaining data pipelines and automating data workflows. Proficiency in SQL, particularly BigQuery SQL for querying and manipulating large datasets. Familiarity with machine learning (ML) concepts, algorithms (supervised/unsupervised learning), and ML tools. Experience with version More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

this isn't set in stone! Familiarity with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, etc.) We use Google Analytics 4, BigQuery, Fivetran, Amplitude, Metabase and DBT amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if More ❯

BI SQL for data querying and manipulation Excel or Google Sheets for data analysis and reporting Experience coding in Python or Javascript Experience with BigQuery or similar cloud-based data warehousing solutions. Experience with Google Marketing Platform, social media ad managers (Meta, TikTok, Snapchat, Reddit) and mobile measurement partners More ❯

and mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to More ❯

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to More ❯

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to More ❯

proven experience in managing, administrating, and troubleshooting Power BI platforms, ensuring performance and security. Experience working with cloud data warehouse solutions such as Snowflake, BigQuery, databricks, Redshift. Experience with version control systems like Git for managing Power BI products. Experience with the DevOps lifecycle. Experience mentoring visualisation developers. Knowledge More ❯

and ability to work in a fast-paced, collaborative environment Excellent communication skills and stakeholder engagement ability ?? Bonus: GCP certifications or hands-on GCP BigQuery/Cloud Storage experience Experience in financial services or banking domain Agile or DevOps delivery experience Ready to take on a transformative challenge More ❯

services. *Ensure data accuracy, integrity, and security within cloud environments. Key Skills & Experience: *Proficiency in SQL and cloud data warehousing (e.g., Amazon Redshift, Google BigQuery). *Experience with cloud BI tools (e.g., Power BI, Tableau, Looker). *Strong analytical and problem-solving skills, with a focus on cloud-based More ❯

analytics platforms, or SaaS products. Strong technical understanding of data platforms, data modeling, and event tracking systems. Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data governance concepts. Proven ability to translate complex technical concepts into clear business value propositions. Excellent stakeholder management skills, with the ability More ❯

certification on Python programming concepts and 3+ years applied experience. Extensive development experience using SQL. Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino. Familiarity with workflow management tools (e.g., Airflow) and/or dbt for More ❯

external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This More ❯

external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This More ❯