26 to 50 of 263 BigQuery Jobs in the UK

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 ❯

through sharing knowledge and mentoring. Minimum Requirements Min. 3 years of experience as Data Analyst/Scientist Proficient in query language/framework (SQL, BigQuery, MySQL) is a MUST Has experience handling big data projects Experienced in R or Python Experience with data visualisation tools like Looker Mastered various 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 ❯

and reporting specific to each internal department. Required Experience & Skills: Technical Expertise: Proven experience with AWS/Azure/GCP (preferably AWS), Redshift/BigQuery, Apache Spark/EMR, Docker, Python, and SQL. Hands-on expertise with workflow orchestration tools (Prefect, Mage, or Airflow). Experience with MPP architectures 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 ❯

you’ll bring: Strong SQL skills Proven experience building and maintaining data pipelines (Airflow, DBT, etc.). Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift. Solid experience with BI tools like Looker, Tableau, or similar. Understanding of data warehousing and data architecture best practices. Ability to simplify More ❯

you’ll bring: Strong SQL skills Proven experience building and maintaining data pipelines (Airflow, DBT, etc.). Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift. Solid experience with BI tools like Looker, Tableau, or similar. Understanding of data warehousing and data architecture best practices. Ability to simplify More ❯

Required) : • Experience with data pipeline tools like Apache Airflow, DBT, or Kafka • Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory) • Exposure to Spark, Hadoop, or other big data frameworks • Personal or academic data engineering projects ⸻ 🎁 Perks & Benefits : • 1:1 mentorship with More ❯

Python coding skills. Experience with AWS and knowledge of IaaS (e.g., Terraform, CDK). Proficiency in SQL for big data (Presto/HiveQL/BigQuery/SparkSQL). Familiarity with data transformation (batch & streaming) using DBT. Knowledge of shell scripting. Additional Information You will get: Personal Development - career pathway More ❯

while mentoring and coaching others to succeed. Have a strong background in building and managing data infrastructure at scale, with expertise in Python, SQL, BigQuery, AWS, dbt and Airflow. Have a strong background in data modelling and building scalable data pipelines. Are naturally curious and enthusiastic about experimenting with More ❯

data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so please More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic 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. Experience communicating with More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯

for: Technical excellence across the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar More ❯

for: Technical excellence across the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if you're not deeply More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯

POV/POCs, configuring a cloud storage bucket for a customer to upload sample data to, configuring cloud permissions to access a customer’s BigQuery instance in order to create a materialized view. What You’ll Need Technical Expertise Comfortable working with APIs (REST, GraphQL). Able to interpret More ❯