pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools More ❯
But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯
data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud More ❯
is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design More ❯
commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery More ❯
with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated More ❯
external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This More ❯
feedback or data. Hands-on experience with cloud platforms, including AWS (e.g., EC2, Sagemaker, Bedrock, S3, Lambda), Google Cloud (e.g., Compute Engine, Vertex, GKE, BigQuery), Azure (e.g., Virtual Machines, Azure OpenAI) etc. Proficiency in scripting or programming (e.g., Python, Java, or PowerShell) Benefits: Competitive total compensation package (cash + More ❯
impact What We're Looking For: 3+ years in a commercial data analytics role Leadership potential or mentoring experience Advanced SQL skills; experience with BigQuery Expertise in Looker (or similar), with a knack for clean, impactful visualisation Strong knowledge of data modelling, regression and cohort analysis Proven ability to More ❯
media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯
The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯
data architecture and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or More ❯
position, the following experience is required: Strong technical leadership (minimum of 2-3 years at Lead level) Experience across GCP and Google Suite (eg. BigQuery, Google Consul etc) Strong history of Data Engineering and Backend Development with Python Hands-on experience across SQL and other DB technologies This position More ❯
/Measurement role Hands-on experience of working with Onsite analytics platforms (Google Analytics), Container tag platforms (Google Tag Manager), Data warehousing platforms e.g. BigQuery and Python, SQL or R. Knowledge of privacy-first approaches and changes in tracking methodologies (e.g. cookie deprecation, server-side tracking). Experience of More ❯
proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing More ❯
proposals. Skills & experience: 10+ years in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving More ❯
key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯
key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯
key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯
environment Enthusiastic about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise More ❯
with data, this role will give you broad exposure across ecommerce and digital marketing performance. 🛠️ What You'll Need Proven experience using SQL and BigQuery to pull and manipulate data Exposure to Power BI and Google Analytics is a bonus A strong commercial mindset with a track record of More ❯
reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯
Stoke-on-Trent, Staffordshire, UK Hybrid / WFH Options
bet365
reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯
high-performance, stable, and secure software. HTML/CSS , JavaScript , and TypeScript . Relational databases such as MySQL , and NoSQL environments like MongoDB or BigQuery . Cloud platforms ( GCP or AWS preferred). Experience with additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in More ❯
