1 to 25 of 86 Permanent BigQuery Jobs in England

Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines ...

Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. ...

data warehouse platform. Extremely Strong SQL skills Significant hands-on experience integrating APIs. Experience with the Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio Strong working knowledge of Python for pipeline development, automation and tooling integration. Hands ...

Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion ...

Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality and reliability Experiment ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

performance optimisation Experience with CI/CD, Git, and modern software engineering practices Nice to Have Exposure to platforms like Databricks, Snowflake, or BigQuery Experience in consulting or client-facing environments Cloud or data engineering certifications Experience mentoring or supporting junior engineers If you’re a Data Engineer ...

designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability ...

build and maintain resilient data platforms using bronze, silver and gold data modelling frameworks. You will develop scalable data pipelines using Python, working with BigQuery to support advanced analytics and high-performance reporting. You will be responsible for integrating data from Dynamics 365, shaping data models and delivering high ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

Nice to Have: Experience with hospitality-specific systems (e.g. Mews, FLYR, D-EDGE, IDeaS, Synxis,etc) Knowledge of cloud-based data platforms (e.g., Snowflake, BigQuery) Why Join Us? Be part of a rapidly expanding hospitality company with ambitious growth plans. Work with a collaborative and innovative team committed ...

Pinecone, Weaviate, FAISS, Milvus) to enable enterprise knowledge solutions Data & Engineering Excellence Lead the evolution of modern, enterprise-scale data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering and governance practices across a distributed global data estate Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) to support ...

Need to Succeed: Strong software engineering skills, with Python as a primary language Strong SQL skills and experience working with analytical data warehouses (e.g. BigQuery, Snowflake) Experience building production-grade data pipelines or distributed data systems Experience working with large-scale datasets Familiarity with cloud infrastructure (e.g. ...

segmentation, attribution, propensity modelling) is beneficial but not required Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift) is a big plus Comfortable using Git for versioning and collaboration Our Commitment to You: Competitive salary 25 days holiday, plus an additional ...

applicant with: Experience as an Analyst in a retail environment Strong SQL Skills Data wrangling expertise: An analytical mindset Experience of Google BigQuery, Snowflake or Amazon Redshift or similar Experience building reports in modern BI & Visualisation tools such as Looker Studio, PowerBI, Tableau or similar ...

data modernisation or migration programmes Understanding of modern data architectures including lakehouse, data warehouse and streaming platforms Familiarity with Databricks, Snowflake, Fabric or BigQuery Knowledge of AI and Generative AI solution delivery Experience working within consultancy or professional services environments Relevant certifications such as PMP, PRINCE2, Scrum, Azure ...

conversion metrics Strong communication and stakeholder management skills Commercial mindset with a passion for insight generation Nice to have: GTM or data layer exposure BigQuery experience Python or SQL knowledge Exposure to paid media data (Google Ads, Meta etc.) This is an excellent opportunity to join a business investing ...

bring a mix of strong technical capability and commercial understanding. Advanced SQL skills (this is a must) Experience working in a cloud data environment (BigQuery preferred) Experience managing data transformations in Dataform, and architecting data models in Looker Background in digital commerce, digital advertising, ad-tech, media, or marketplace ...

technical leadership across multiple domain teams Defining how projects are approached and ensuring delivery standards are upheld Designing and governing scalable pipelines using BigQuery, Dataflow, Datastream, Data Fusion, Dataproc and Cloud Composer (Airflow) Leading best practice across dbt, Terraform, Docker and CI/CD Driving Data Mesh adoption, domain ...

reliability, observability, and operational excellence Data & Analytics Awareness: Strong understanding of datamodellingconceptssuch ascanonicalmodelsand dimensional models Experience working alongside modern data platforms (e.g. Snowflake,BigQuery, Redshift) Ability to reason aboutData lineage and traceability,Reconciliationand variance analysis,Backfills and historical corrections Platform & Operations: Experience with CI/CD pipelines andInfrastructure asCode ...

Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Comfortable presenting data findings to both technical and non-technical audiences Understands digital marketing performance metrics across channels like search, paid media ...

Product Manager delivering data platforms or data products Strong experience with cloud-based data ecosystems (GCP Preferred) Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub Experience with Databricks and/or Snowflake Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs ...