201 to 225 of 712 BigQuery Jobs

Social network you want to login/join with: Marketing Technology Engineer – Retail/Luxury - Fashion up to £70,000 + 10% bonus Hybrid - 2 days per week in the office WC1 - London I’m excited to partner with an More ❯

communications both internally and with 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 is not a technical advanced More ❯

communications both internally and with 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 is not a technical advanced More ❯

communications both internally and with 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 is not a technical advanced More ❯

Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery) Expertise in building data architectures that support batch and streaming paradigms Experience with standards such as JSON, XML, YAML, Avro, Parquet Strong communication skills Open to learning new technologies More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

extensive experience with at least one major cloud provider (e.g., AWS, Azure, GCP) and their relevant data and ML services. Has experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and data lake technologies (e.g., S3, ADLS). Has experience with Apache Spark (PySpark). Is familiar with workflow orchestration tools (e.g., Airflow, Prefect, Dagster). Is proficient with More ❯

Medical Research Council Head Office Salary: £36,650 annum Band: UKRI D Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. Location: Polaris House, Swindon, Wiltshire - Hybrid working available Closing Date: Wednesday 2nd July More ❯

The team you'll be working with: As part of our continuous growth, we are seeking a Salesforce Data Cloud Specialist to join our Salesforce Practice in London. This role will play a key part in driving data driven innovations More ❯

are naturally curious, enjoy solving problems, and are looking for opportunities to grow your technical and business understanding. Who you are Strong SQL skills, with hands-on experience in BigQuery or PostgreSQL; confident working with moderately complex data transformations Have contributed to dbt models in production and understand principles of modular, testable, and reliable DAGs Proficient in Python for More ❯

SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in More ❯

communications both internally and with 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 is not a technical advanced More ❯

a challenging start-up environment. You have a curious mind and love problem-solving. We are looking for candidates who have Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are proficient with More ❯

to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. The Medical Research Council (MRC) Salary: £31,931 Hours: Full time or Part time (minimum 30 hours per week) Contract More ❯

Senior Information Analyst Medical Research Council – Head Office Salary: £36,650 annum Band: UKRI D Team: Evaluation and Analysis Team Reports to: MRC Lead Analyst Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning 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 in data warehouses Desire to More ❯

Lead Data Analyst - Growth & Retention Location: Remote (1 Day per month in London office) Department: Data Reports to: Director of Data About the Role We're looking for a Lead Data Analyst to join our Growth team and play a More ❯

Role: Senior Data Analyst Location: London (Hybrid - 3 days in-office) Salary: £60,000- £80,000 Industry: Retail Overview: This is an exciting hands-on opportunity well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The More ❯

Social network you want to login/join with: Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK Our client is a global leading and fast growing high tech company: -Over 6,500 employees More ❯