1 to 25 of 129 BigQuery Jobs

Data Engineer, with a strong focus on Google Cloud Platform. In-depth knowledge and hands-on experience with core GCP data services such as: BigQuery: For data warehousing, querying, and analytics. Cloud Dataflow: For batch and stream data processing. Cloud Pub/Sub: For real-time messaging and event ...

with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design ...

systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy ...

Engineer, or BI Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS ...

metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story ...

experience in data engineering, analytics, or a similar role Working knowledge of SQL and data modelling principles Experience with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift) Dashboarding experience using tools such as Power BI, Tableau, or Looker Strong analytical thinking and problem-solving skills Comfortable working with non-technical ...

Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.) Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) Understanding of ETL/ELT processes and data transformation workflows Experience working with non-technical stakeholders and translating requirements Nice to Have ...

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 ...

engineering principles is beneficial. Deep understanding of data platforms, orchestration , metadata management , CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc. Demonstrated experience architecting solutions using medallion architectures , including curated gold-layer models designed for analytics consumption. Strong knowledge ...

computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology ...

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 ...

/Polars or equivalent) and production‐quality code. Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery). Hands‐on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD. Proven ...

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 ...

Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine. Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code. ...

pipelines for structured and unstructured data Develop and optimize ETL/ELT processes for batch and near real-time data ingestion Work with GCP (BigQuery, Cloud services) and Azure (including Microsoft Fabric) Perform data modeling, transformation, and performance tuning Write efficient, complex queries using SQL and develop scripts ...

data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practices So, whats in it for you? Bonus ...

data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practices So, what ...

understanding of data modernization, management, and value realization Familiarity with AI, BI, and analytics ecosystems Experience with cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift) Experience with BI tools (Power BI, Tableau, Looker) Track record of closing £500K–£3M deals Comfortable selling consulting, implementation, and managed services Ability ...

risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong ...

practice data solutions in a fast-paced startup environment. Responsibilities Data Modelling & Warehouse Development Design, build, and maintain data models (in predominantly Snowflake, Redshift, BigQuery etc.) using SQL best practices. Implement scalable and efficient data pipelines that adhere to kimball or star schema methodologies. Understand ...

Data Data Analytics & Data Science for solutioning Relevant technology domains: Experience in designing & implementing solution in mentioned areas: Strong Google Cloud Platform Data Components – BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc Professional Summary: Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like ...

desire to learn and develop new skills. Desirable Skills & Experience (Beneficial but not required): Familiarity with Google Analytics (GA4), Google Search Console, BigQuery or Botify. Experience with data visualisation tools (e.g., Looker Studio, Tableau, Power BI). Experience working with APIs Experience working with large websites (1m+ pages ...

hands-on profiling, cleansing, and modelling. Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift). Proficient with data prep and QA automation; strong understanding of master/reference data practices. Knowledge of access controls, PII handling, retention ...

space to contribute in their own way. What we're looking for: Strong Python and SQL experience in production Experience with Spark, Snowflake, BigQuery or similar Cloud experience (AWS, GCP or Azure) Comfortable working with complex, messy data Experience owning pipelines end-to-end Collaborative mindset with mentoring experience ...

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 ...