1 to 25 of 32 BigQuery Jobs in the South East

Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and collaboration more »

product teams on existing projects and new innovations to support company growth and profitability. Our Tech Stack Python Scala Kotlin Spark Google PubSub Elasticsearch Bigquery, PostgresQL Kubernetes, Docker, Airflow Ke y Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. Optimising data more »

CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). Knowledge of Database administration Demonstrate experience of using Terraform to provision and configure infrastructure Scripting ability – PowerShell, Python, Bash etc. Comfortable working with more »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex more »

expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its more »

to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. more »

Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs. Strong Python coding skills GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery) Experience with modern development methods and tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop data collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis more »

provide solid recommendations and reports to the senior leadership team, highlighting key metrics for performance across all products and services. Use Big SQL/BigQuery for complex data analysis, utilise Firebase and Google Analytics and leverage Looker Studio for visual reporting and insight. Spearhead app attribution processes, identifying and more »

a plus). Because data preparation will be c.25% of the role,the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »

a plus). Because data preparation will be c.25% of the role, the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »

in Python and SQL Data Engineer Desirable Qualities: Ability to communicate effectively to technical and non technical people Nice to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow more »

API architectures (API patterns, security approaches, Spring, integration) Exposure to as many as possible of: UI frameworks (e.g. React, Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to more »

Significant experience with orchestration tools, ideally Airflow Strong Data Architecture experience ideally in both GCP and AWS Knowledge of MPP systems such as Athena, BigQuery, EMR, Hive, Iceberg 👍 Bonus points for: Exposure to data streaming technologies such as Kafka or Kinesis more »

Significant experience with orchestration tools, ideally Airflow Strong Data Architecture experience ideally in both GCP and AWS Knowledge of MPP systems such as Athena, BigQuery, EMR, Hive, Iceberg 👍 Bonus points for: Exposure to data streaming technologies such as Kafka or Kinesis more »

data and ideas to senior stakeholders Partnering with commercial and marketing teams Leading projects relating to mobile app analytics Line management Experience in with BigQuery or SQL Experience with visualisation tools Great opportunity for someone to work for a brand that everyone knows, contributing to the success of an more »

Position: Data Engineer Reporting to: Lead Data Engineer Contract type: Full Time, Permanent, Remote (with Occasional Travel) This is an exciting opportunity to join one of Europe's fastest growing healthtech startups About Cera At Cera Care, our mission is more »

languages E.g. Google Cloud SDK, SQL, Linux, PowerShell, Shell Scripting, HTML and CSS. • Different types of database, e.g. Google Cloud Spanner, Firestore, Bigtable and BigQuery, as well as MongoDB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data. • Microservices architecture, including containers and serverless … Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery • Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and more »

crucial role in developing and maintaining our data infrastructure, ensuring scalability, reliability, and efficiency. Key Responsibilities: Design, develop, and maintain scalable data pipelines using BigQuery, Python, and CloudRun. Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions. Implement best practices for data … date with the latest technologies and trends in data engineering and recommend innovative solutions to enhance our data infrastructure. Required Skills: Strong proficiency in BigQuery, Python, and CloudRun. Experience with building and optimizing data pipelines for large-scale datasets. Solid understanding of data modeling concepts and ETL processes. Experience more »

Responsibilities: · Commercial acumen and a recent proven experience in a similar role (such as Commercial Insight Analyst, Data Insight analyst in Product Sales, Product Insight Analyst etc) · Success track in synthesizing complex and ambiguous information in order to drive actionable more »

THE ROLE: Conduct A/B tests, analyse results, and optimise website performance. Develop and maintain SQL queries for data extraction and manipulation. Leverage BigQuery to aggregate and process large datasets efficiently. Create interactive and insightful dashboards using SQL and BigQuery. Collaborate with cross-functional teams to identify key … a Higher Education setting. Proficiency A/B testing and personalisation. Strong SQL skills with experience in querying and manipulating large datasets. Familiarity with BigQuery or similar big data platforms. Experience creating dashboards and reports for business stakeholders. Proficiency in data visualisation tools like Looker Studio. Strong analytical and more »

The opportunity to influence the roadmap for a scaling Data Privact brand, having a positive input on thousands of lives. You will work directly with Product and Technology teams, delivering valuable insights and customer journey data. The role is intended more »