1 to 25 of 35 BigQuery Jobs in Manchester

data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/ ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will evaluate ...

. What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets Develop and optimise search indexing ...

layers Experience with infrastructure-as-code (Terraform, AWS CDK) is a plus Familiar with broader cloud platforms — Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) — is beneficial but not essential Tech snapshot Primary cloud AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming ...

transformation and orchestration toolsBuilding semantic models or reusable business logic for BI, analytics or self-service reportingWorking in cloud data environments such as Databricks, BigQuery, Snowflake or similarApplying engineering practices to analytics, including Git, pull requests, testing, documentation and CI/CDImproving data quality, lineage, governance and trust across ...

years' commercial data engineering experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift)Data transformation technology such as DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/ ...

visualisation experience (Looker Studio, Power BI, or similar) Strong stakeholder communication skills Excellent problem-solving and analytical skills Nice to have Adobe Analytics BigQuery/SQL experience App analytics experience Product analytics tools such as Mixpanel Insurance, financial services, or digital product environments Why join? Work on both website ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science ...

Python | SQL | BigQuery | Neo4j | Data Engineering | Knowledge Graphs The Role I'm working with a business investing heavily in enterprise AI, search and knowledge management capabilities. They're looking for a Data Engineer to help build the data foundations that sit behind large-scale AI and knowledge discovery platforms. ...

major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

major cloud provider (AWS, Azure, or GCP).Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

development. Ability to manage competing priorities and collaborate effectively across multiple teams. Experience presenting recommendations to both technical and non-technical stakeholders. SQL and BigQuery experience would be advantageous. What They Offer Competitive salary. Hybrid working in Manchester. Exposure to a broad range of digital analytics, optimisation and product ...

JavaScript, and Node.js with the ability to review code and guide developers. Data Systems: Experience with data warehousing, APIs, and data modelling (e.g., BigQuery).Troubleshooting: Advanced troubleshooting skills to diagnose complex data and implementation issues. Leadership & Strategic Skills: Team Leadership: Proven experience leading and managing a technical team. Strategic ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable ...

z2bz0 years’ hands‐on experience delivering advanced GA4 implementations Strong experience with Google Tag Manager and dataLayer implementation Experience across analytics technologies including GA4, BigQuery, Looker Studio, DV360 and/or SA360 A track record of delivering technically complex projects for clients Knowledge of coding languages such as JavaScript ...

really useful: Integrating and analysing data from multiple sources to solve complex business problems Python for data analysis, automation or process improvement Working with BigQuery and data platforms within Google Cloud Using AI-powered tools to accelerate development and improve efficiency About working for us Our ambition ...

greenfield enterprise knowledge management program. You’ll shape target-state architecture, build scalable ETL/ELT pipelines and develop knowledge graphs with GCP, BigQuery, Spanner and Neo4j. Hybrid working model (Manchester/Edinburgh/Leeds) with about 2 days onsite per week, and a 2–3 year scope subject ...

science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while providing direction, mentorship ...

What you’ll be doing Design and develop scalable ETL/ELT data pipelines across multiple enterprise sources. Build enterprise data solutions using GCP, BigQuery, Google Spanner, Neo4j and Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search … Governance teams. What we’re looking for Strong GCP experience. Strong ETL/ELT experience. Experience working with complex, cloud-native data environments. BigQuery experience. Kafka/event-driven architectures. Neo4j/Knowledge Graphs. AI/LLM and RAG solutions. Enterprise search and indexing. Data governance and regulatory environments. ...

transforming enterprise data into searchable, governed and AI-consumable formats. Key Responsibilities Build scalable ETL/ELT pipelines using Python and SQL Work with BigQuery, Google Spanner, Neo4j and Vector Databases Design and implement Knowledge Graphs Develop enterprise search, indexing and retrieval capabilities Build data models, metadata and enrichment … data quality, governance, lineage and traceability Optimise platform performance and scalability Key Requirements Strong commercial Data Engineering experience Strong Python and SQL Experience with BigQuery, Spanner and/or similar cloud data platforms Hands-on Neo4j/Knowledge Graph experience Experience with Vector Databases, Search or Indexing Strong understanding ...

across all three domains – ensuring shared attributes are handled uniformly and that data can be reliably joined across domains Lead the evolution of our BigQuery/GCP platform – driving migrations, modernising legacy pipelines, and building for scalability Make key architectural decisions and be accountable for the technical quality … culture of engineering excellence, collaboration and continuous improvement What skills and experience do I need for this role? Hands‐on, expert‐level experience with BigQuery and GCP – this is non‐negotiable; you must have built and operated production data pipelines on this stack Strong Python skills – used daily ...