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 ❯
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 you're not deeply 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 ❯
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 ❯
/Analytics teams within the financial services and insurance sectors in the UK. Demonstrable experience in key analytics software and technologies (e.g. SQL, Python, BigQuery, Snowflake, dBT, etc.) and reporting tools (e.g. PowerBI). Deep knowledge of Microsoft Excel in a commercial setting. Experience with cloud-based platforms (AWS More ❯
insights that matter. You’ll need: Hands-on experience with GA4, Google Analytics 360, Google Tag Manager, and CRM tools. Proficiency in SQL, within BigQuery environment. Strong dashboarding and visualisation skills using Tableau, Looker, or Google Data Studio. A keen eye for detail and a love of structured, reliable More ❯
Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, GoogleBigQuery); understanding of data warehousing and ETL processes. Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP. More ❯
scale Good communication skills and the ability to work collaboratively across teams Self-motivated, organised, and willing to take initiative Desirable: Experience working with BigQuery or similar data warehouse platforms Familiarity with Google Analytics , Business Objects , or other web analytics tools Exposure to ecommerce and/or retail environments More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Superdrug
scale Good communication skills and the ability to work collaboratively across teams Self-motivated, organised, and willing to take initiative Desirable: Experience working with BigQuery or similar data warehouse platforms Familiarity with Google Analytics , Business Objects , or other web analytics tools Exposure to ecommerce and/or retail environments More ❯
modeling, and data warehousing Proficient in SQL, and familiar with NoSQL databases Skilled in Python, Java, or Scala for data pipeline development Experienced with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub Exposure to Hadoop, Spark, Kafka Data Engineer - GCP & Python Location: London, UK Type: Hybrid (3 days onsite More ❯
to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog. What You'll Do Take ownership More ❯
Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex More ❯
Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex More ❯
and wed love to hear from you! What experience youll need to apply: Strong technical expertise in Python, SQL, ETL, and Googles data stack (BigQuery, Dataform, Looker Studio, Composer). Experience leading and mentoring data teams, with a passion for developing people. A deep understanding of data science, data More ❯
a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯
a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯
a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯
london, south east england, united kingdom Hybrid / WFH Options
Loadsure
a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯
Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning More ❯
Google Cloud Platform (GCP): This includes a broad knowledge of core GCP services like Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, BigQuery, and networking components (VPC, Cloud DNS, etc.). A trainer should be able to go beyond the basics and explain the nuances of each More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
advantage of learning opportunities to help N Brown become an industry leader What knowledge of Technology will you have? Experience with Google Cloud products (BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms Experience with open-source data-stack tools such as Airflow, Airbyte, DBT More ❯
