1 to 25 of 27 Permanent BigQuery Jobs in the North of England

skills, non-negotiable Significant hands-on experience integrating APIs into real, production data flows Experience with the Google Cloud Platform data stack, including BigQuery, Cloud Functions, Cloud Storage, Pub/Sub, IAM Management, and Data Studio Strong working knowledge of Python for pipeline development, automation, and tooling integration Hands ...

optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes and data modelling principles. Experience working with version control tools such as Git. Ability ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years’ experience working on data engineering ...

Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public ...

Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge of CI/CD practices, change management, and environment controls across development, testing, and production. Experience creating ...

Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/CD, change management, and environment controls ...

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

building reliable, scalable data solutions. Youll bring: Strong experience with SQL (including optimisation) and Python for data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid ...

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 DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

Experience in a Lead or Principal Data Engineering role. Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern ...

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

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 ...

BigQuery. Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data. Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

packs for senior stakeholders and C-suite audiences. What you'll have: Advanced SQL capability and experience working with large-scale datasets. Experience with BigQuery, Snowflake, or similar cloud-based data platforms. Strong dashboarding and data visualisation capability using tools such as Tableau and Looker Studio. Exposure ...

level — this is essential Strong working knowledge of Google Tag Manager — also essential Broader experience across the Google Marketing Platform, including tools such as BigQuery, Looker Studio, DV360 and SA360 Proven track record delivering technically complex analytics projects across a range of industries Comfortable working with relevant coding languages ...

stakeholders. Strong leadership qualities, capable of influencing decision-making and guiding teams through ambiguity. Desirable: Adobe Certifications Experience with enterprise data platforms (e.g., Snowflake, BigQuery). Familiarity with composable DXP architectures and modern frontend frameworks. Architectural experience with Adobe Experience Manager, including Sites, Assets and Edge Delivery Services. Join ...

Job Description hackajob is collaborating with GlobalData Plc to connect them with exceptional professionals for this role. Please make sure you read the following details carefully before making any applications. Data Analyst Location: Hull Location ...

environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years’ experience as a Data Engineer with a strong focus on ETL/ELT. • Advanced … Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines ...

structured, of high quality, and supportive of analytics teams. With over 8 years of experience in data architecture and deep expertise in GCP and BigQuery, you will build a strong data culture and set the direction for robust data practices. This role requires excellent leadership skills and the ability ...

Experience running A/B tests and using data to drive decisions Data fluency: comfortable with funnels, cohorts, and SQL-backed dashboards (BigQuery, Metabase, GA4) Commercial mindset with evidence of improving conversion, retention, or revenue Strong stakeholder communication and ability to work with external development partners Attention to detail ...

complex data modelling and analytics use cases Implementing dimensional models using Kimball methodologies Working with cloud data warehouse technologies such as Snowflake or BigQuery Supporting analytics use cases and collaborating with stakeholders across the business Contributing to data platform improvements and best practices Your Skills and Experience Strong commercial … experience writing complex SQL, including CTEs and window functions Experience working with modern cloud data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context ...

maintaining the data pipelines, domain datasets and platform architecture that underpin analytics across Beauty and Nutrition Own the evolution of our GCP/BigQuery platform — from how data is ingested and stored, to how it is structured for downstream consumption Set engineering standards — version control, testing, error handling, documentation … platform or data leadership roles, with at least 3 years at a senior or head‐of level Deep hands‐on experience with GCP and BigQuery — you must have built and scaled data platforms on this stack Experience across multiple data domains — ideally at least two of Customer, Commercial ...

ensure alignment on audiences, testing frameworks and execution excellence across our audience strategy. What youll be responsible for Using Customer Data Platform/BigQuery-powered segments to build, refine and deploy customer audiences across activation channels including Paid Search, Paid Social, CRM, Display, CTV and Partnership channels. Maintaining consistent … tests, messaging tests). Excellent stakeholder communication skills. Experience using BigQuery or SQL for basic queries. Exposure to data clean rooms (e.g., Google BigQuery Cleanroom). Experience activating 1PD audiences and API/CAPI integrations. Experience in retail, e-commerce or multi-brand environments. Understanding of attribution, incrementally ...

within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms … Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes: Google Cloud Platform (GCP) architecture BigQuery data warehousing High-throughput distributed applications Batch data processing pipelines Integration with REST and SOAP APIs Windows and web services Web-based applications ...