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 »
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 »
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 »
optionally) experience with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience more »
python skills. • Extensive use of cloud technologies such as AWS and GCP. • Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). • Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow. • Demonstrable experience of working 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 FullCircl 3 Lead_Data_Engineer 04.24 · Kubernetes, Docker, Airflow KEY RESPONSIBILITIES · Designing and implementing scalable data pipelines using tools such as Apache Spark 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 »
West London, London, United Kingdom Hybrid / WFH Options
Recruitment Revolution
order to assist with accurate reporting and guide business decisions. You will also work with other existing and new tools such as Google Analytics, BigQuery, Shopify and more to leverage data and insights, and connect the marketing dots. In addition to this, you will work with our in-house 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 »
experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Exposure to cloud platforms (e.g., AWS, GCP, Azure) and their 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 »
of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to interact 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 production Generate actionable insights for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in 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 »
paced startup/scale up environment. Having previously worked within a data engineering team you are familiar with cloud-based data warehouses such as BigQuery and Snowflake, as well as the principles of a modern data lake based on Apache Avro and ParquetExperience managing data platforms as a product more »
opportunity you would like to apply to, please review the necessary competencies below: Knowledge of ETL, Analytics & Data Warehousing Experience with Cloud, AWS, Snowflake, Bigquery Experience in building a data driven culture, in the form of self-serve analytics Previous hands on experience in building a best in class 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 »
in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »
in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »
for model enhancementsPlan and deliver the development of improvements to existing ML models.Measure and communicate impacts of the changes to key customersSystems: Python, GCP (Bigquery and Vertex AI), KubeflowYou’ll be a successful Senior Data Scientist at OVO if you…Extensive Experience: Minimum 5 years of experience in data more »
wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like GoogleBigQuery - 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 »
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 »
