126 to 137 of 137 BigQuery Jobs

accurate, performant, and trusted across analytics and ML use cases. The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate closely with product, analytics, and machine learning teams and contribute to improving engineering standards. Key Responsibilities … Looking For * Strong **Python and advanced SQL** in production environments * Experience delivering end-to-end data engineering solutions * Exposure to **Spark, Snowflake, BigQuery** or similar * Cloud experience across **AWS, GCP, or Azure** * Comfortable working with messy, large-scale datasets * Strong ownership from design through to deployment A strong opportunity ...

that scale across the organisation Build and optimise data marts and reporting layers in the warehouse Write efficient SQL against cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement BI governance—version control, refresh schedules, access management, documentation Improve dashboard performance, reduce query cost and tune model design Partner … standards, mentor junior developers, lead larger reporting and modelling initiatives What You'll Bring Technical Expertise: Strong SQL proficiency against modern cloud warehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Deep hands-on experience with at least one major BI platform (Power BI/DAX/Power Query, Tableau, Looker/ ...

domain‐aligned data products, and enabling real‐time data analytics and reporting. This is a hands‐on leadership role; you will be working in BigQuery, dbt, and data pipelines yourself. Key Responsibilities Strategy Execution: Lead on data strategy execution, leading by example in a hands‐on capacity Data Foundations … Skills, Knowledge and Expertise Leadership Experience: Proven track record of leading data projects in fast‐paced environments Technical Mastery: Expert‐level proficiency in SQL, BigQuery, and modern data ingestion/transformation patterns Tooling: Experience with Looker, dbt, and Python Data Science: Ability to develop Machine Learning models ...

Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. … paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark ...

Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. … paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark ...

Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. … paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark ...

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

experience in Digital Analytics, eCommerce, or Digital Marketing Strong experience with Google Analytics and advanced Microsoft Excel & PowerPoint Working knowledge of SQL and Google BigQuery (GCP) Proven ability to analyse digital performance across media and onsite funnels Experience working in medium to large online businesses Stakeholder management experience within ...

responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack. Successful applicants will have experience with: Looker BigQuery GCP Gemini Exceptional candidates would have worked with: Retail Data If you're interested in the role please apply to be considered. London/Hybrid £(Apply ...

integrating new services and tools, such as Salesforce, Segment, HubSpot, Stripe is beneficial Experience with SQL and data warehousing/pipelining tools such as BigQuery, Airflow, etc Proven experience in navigating and transforming legacy codebases, as well as leading greenfield projects ...

Education to degree level (numerical preferred), with at least A level Maths. Advanced spreadsheet and data handling, with experience in programming language (i.e. SQL, BigQuery) (preferred) Strong analytical skills combined with confident communication skills An understanding and interest in the basics of analysis. Team Supporter Confident presenter Ability ...

move quickly in ambiguous environments without waiting for direction. Bonus Points: Experience with JVM-based frameworks ( Flink , Beam , Dataflow , or Spark ). Familiarity with BigQuery , SQL , Scala , and DevOps/Cloud infrastructure ( Kubernetes ). Prior experience with pipeline migrations and cost optimization This is an urgent vacancy with ...

technical data architecture and engineering standards needed to make the above statements true for the data products which are built the cloud (GCP, BigQuery, Looker data lake). These standards will include BiqQuery Layout - naming standards, key consistency, suffix standards, data set layering etc Looker Semantic Layer - user view ...

Expertise: You're confident building and operating backend services with Java frameworks using modern cloud environments. Additional tools and technologies such as gRPC, GCP, BigQuery, and Bigtable are a strong plus. Agile Mindset: You enjoy working collaboratively on a full-stack team, using agile processes to deliver a project ...

ones, and help shape how we productise this capability as we scale. What You'll Do Deploy and manage cloud data infrastructure (GCP/BigQuery, IAM, service accounts, Cloud Storage) for new client onboardings from the ground up Build and maintain end-to-end data pipelines from connector configuration … data modelling; you build and maintain modular, analytics-ready data models (dimensional, star schema) that serve BI tools, AI agents, and automated reports. BigQuery preferred; Snowflake, Redshift, or Postgres transferable Cloud and pipeline fluency; comfortable navigating GCP (BigQuery, IAM, GCS, CLI) and managing end-to-end ELT pipelines ...

Data Engineer/Analytics Engineer Harnham is partnered with an innovative, high-growth business that is looking for a Data Engineer/Analytics Engineer to support the evolution of its data platform and reporting capabilities. ...

Microsoft Data Engineer Join a fast-paced, high-growth company at the forefront of zero-emission solutions, as they look for a skilled and motivated Microsoft Data Engineer who owns how data moves across the ...

seeking a highly experienced Lead Data Engineer to assess and potentially lead the consolidation of a complex, fragmented data landscape into a single Google BigQuery platform. The business currently operates across multiple technologies and data warehouses, creating challenges around data consistency, reporting accuracy, and stakeholder trust. The objective … right individual, there is potential to lead the wider migration and transformation programme. The Challenge The current environment consists of multiple platforms, including: Google BigQuery Snowflake Microsoft Fabric Over time, the data estate has become increasingly fragmented, resulting in: Multiple versions of reporting across the business Reduced confidence ...

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 ...

Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams. Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery) to surface insights and guide decisions. Clear Communication: Communicates clearly and confidently across all audiences, internal and external, including technical teams and senior leadership. ...

helping people feel connected from day one. The must haves • Strong analytical skills with experience handling and interpreting complex data • Experience using SQL, SAS, BigQuery or similar analytical tools alongside advanced Excel • Experience working with credit bureau data such as Experian, Equifax or TransUnion • Experience delivering or supporting system ...

testing frameworks. Strong backend development experience with Node.js, Python, REST APIs, microservices, and relational or document databases (e.g., PostgreSQL/PostGIS, Firebase, BigQuery). In-depth knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. Excellent DevOps and infrastructure … designing, deploying, and maintaining scalable, reliable, and secure cloud-native applications. Desirable Skills Experience with geospatial technologies and concepts, including: Spatial databases (e.g., PostGIS, BigQuery, DuckDB, Google Earth Engine) Geospatial libraries (e.g., GDAL/OGR, GeoPandas, Proj4, Gmaps, Leaflet, Leafmap,rasterio, STAC) Geospatial data formats (ESRI shapefiles, geojson, geotiff ...

document types and formats Develop evaluation pipelines to monitor correctness and coverage of the extracted information Define data model for structured storage in Google BigQuery Stabilize the pipelines for production use in Google Cloud, including error handling, logging, alerting, and output quality checks Define consumption interfaces for the extracted … experts to make informed decisions Ability to communicate progress clearly to a non-engineering audience Useful but not required Comfort with the GCP ecosystem — BigQuery and Cloud Run experience is useful Exposure to Terraform is a plus Familiarity with Airtable as a lightweight data layer alongside more structured warehousing ...

when and how to apply them. Optimise physical designs for performance, scalability, cost and resilience across cloud data platforms (e.g., Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define data ownership … Hands-on experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural artefacts: blueprints, models ...