Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. * NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. * BigQuery and Data Studio/Looker. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. * Experience more »
Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. • NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. • BigQuery and Data Studio/Looker. • Snowflake Data Warehouse/Platform • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. • Experience more »
maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business more »
maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading industry. more »
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 »
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 »
debugging skills. Strong interpersonal skills; able to work independently as well as in a team. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis. Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform Familiar with monitoring tools such as Prometheus, Grafana, Splunk more »
Python coding skills Containerisation experience (Dockers, Kubernetes) Cloud Computing experience ( GCP/AWS/Azure ) Strong preference for a Snowflake background but open to Bigquery or Redshift Unfortunately sponsorship cannot be provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com for more »
to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as Databricks, Snowflake, GoogleBigQuery 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
BJSS
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 »
working on: We’re looking for a product analyst to join our ever-developing London office. You’ll be using tools and databases including BigQuery, Tableau, DBT and Python, to tackle important problems that we’re only just starting to understand, in order to: Measure, quantify and optimise complex more »
selected candidate will also be focusing on building, designing and taking ownership of high quality data products. Key requirements: Advanced SQL Google Cloud Platform BigQuery (or Snowflake) Terraform Full understanding of CI/CD pipelines Python Expereince in leading data teams (Tech lead) Offer and Benefits: Discount scheme for more »
expansion, they are quickly moving towards being at the forefront of innovation in the leisure industry. The company has established a data warehouse in BigQuery through a third party and is beginning to utilise tools such as Looker for data visualisations. Now, there is a strong push to further more »
Greater London, England, United Kingdom Hybrid / WFH Options
Annalect
Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick up new tools more »
Must have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like GoogleBigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong more »
working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, GoogleBigQuery etc. A proven background in paid media measurement and web analytics for customer journey purposes Strong technical skills with Google Analytics (GA) or Adobe more »
South East London, England, United Kingdom Hybrid / WFH Options
dmg media
Google Tag Manager as well as Server-side Tagging using sGTM. Experience in data visualization tools such as Google Data Studio Working knowledge with BigQuery advantageous. Demonstrable knowledge of client-side development in JavaScript, HTML and front-end debugging. Strong interpersonal skills - experience of dealing with multiple stakeholders at more »
insights that challenge conventional norms. Experience: Working with Active Data across Web and Mobile Platforms. Google Analytics (GA4) experience Strong Skills within SQL and BigQuery (Preferable) Knowledge and proficiency in Dashboarding and Reporting in Looker (Tableau or BI) Sound Interesting? Feel free to Apply and I will get back more »
SQL and working with large and complex data sets You've had some exposure to cloud based analytical platforms such as Databricks, Snowflake, GoogleBigQuery etc You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within 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 »
London, England, United Kingdom Hybrid / WFH Options
Jellyfish
your clients' needs, developing long-lasting relationships and helping them navigate and solve technical challenges in the AdTech ecosystem. Familiarity with JavaScript, Google Cloud, BigQuery, SQL, Looker Studio or Adobe Analytics is advantageous, but not mandatory. When faced with a problem, you collaborate with the appropriate people to evaluate more »
