through involvement in project/sprint planning and QA Nice to have - "Desirable": Knowledge of other cloud platforms * Google Data Products tools knowledge (e.g., BigQuery, Dataflow, DataProc, AI Building Blocks, Looker, Cloud Data Fusion, Data prep, etc.) Relevant certifications * Python * Snowflake * Databricks To apply please click the "Apply" button 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 »
/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects 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 Key Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. Optimising data storage 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 »
Proficiency in DBT (Data Build Tool) for modelling and transforming data in a cloud environment. - Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub. - Strong understanding of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) methodologies. - Familiarity with visualisation tools like PowerBI more »
of programming techniques and languages like Python, Scala, Java script etc Good working knowledge of Cloud data warehousing platforms such as Snowflake, Redshift or BigQuery Good Understanding of the HE Regulatory Framework Benefits: Private medical (health) insurance with BUPA Annual leave (5.6 weeks), including bank holidays. Workplace pension scheme. 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 »
and GA4 Strong analytical experience and commercial acumen Ability to interpret data and make data-driven recommendations Proven ability to work with SQL/BigQuery, writing complex queries to extract data Experienced Analyst with a background working with large data sets in digital/web/ecom/marketing more »
constructing data warehouses. Proficient in crafting visualization layers atop warehouses, such as utilizing Power BI. Hands-on experience with Cloud Database technologies like GoogleBigQuery or Snowflake. Proficient in leveraging Multi-dimensional OLAP cubes for storing and referencing data within a semantic data layer. Extensive background in building data more »
Data Engineer Embark on a Rewarding Journey with MIKI Travel: Where Your Career Takes Flight. At MIKI Travel, our 55+ years of expertise make us a trailblazing wholesale travel provider, curating unforgettable global adventures. As a premier private travel company more »
Finance services experience - Asset Management is highly preferred. 5+ years of DBT (Data Build Tool) Development Strong skills in cloud data warehouse building - GoogleBigQuery and Snowflake SQL database or relational database skills OLAP Cubes Please apply immediately for an interview via the link provided or email me for 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 »
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 »
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 »
define the solutions Good to have 1. Experience in working with industry standards/tools like Gitflow and PEP 8 2. Google cloud skills (BigQuery, Cloud SQL, Cloud composer) 3. Front-end development (HTML5, CSS3, JavaScript) 4. Experience in Telco Networks is a plus more »
For: track record of engineering leadership within a scaling technology company. in modern software development, architecture, and infrastructure technologies (ideally Google-based techs – GoLang, BigQuery, GCP) to thrive in a fast-paced, dynamic environment. communication, collaboration, and interpersonal skills. mindset with a knack for innovation and problem-solving. for more »
their Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage- Short more »
PostgreSQL). Track record building end-to-end machine learning models Experience with geographic data/GIS data Exposure to GCP tools (e.g. Dataflow, BigQuery, Vertex AI) Experience working in a SaaS start up is a massive bonus! Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS more »
