Top Data & Analytics Jobs

Leads a data engineering team responsible for dashboards, reports, data extracts, and reliable datasets. Manages Agile sprints, prioritizes deliverables, coaches engineers, translates business requirements, maintains data governance, and drives improvements across BigQuery, GCP, Looker, Airflow, and Microsoft SQL Server environments.

Develop and maintain GCP-based data lake and warehouse infrastructure, including BigQuery, BigLake, Analytics Hub, and GCS. Build robust data loading processes, complex SQL transformations, and departmental standards. Collaborate across teams to improve data platform performance, document technical processes, and apply AI in production workflows.

Lead the modernization of regulatory reporting systems by designing scalable BigQuery and Dataform pipelines on Google Cloud Platform. Build and support ETL and ELT workflows, implement data-quality controls, monitoring, testing, and CI/CD, and modernize SQL Server solutions. Lead technical designs and delivery planning, reduce technical debt, collaborate with stakeholders, mentor engineers, and use AI-assisted development tools to improve engineering quality.

Lead the modernization of legacy SQL Server reporting systems into scalable Google Cloud architectures. Design and maintain BigQuery and Dataform pipelines, build resilient ETL and ELT workflows, implement data-quality controls and observability, and improve reporting architectures. Lead technical designs and delivery planning, reduce technical debt, collaborate with stakeholders, and mentor engineers while promoting testing, CI/CD, documentation, and AI-assisted development practices.

Build and maintain regulatory reporting systems using SQL Server and GCP BigQuery. Develop automated ETL and ELT pipelines, migrate legacy solutions to cloud-native platforms, and implement data modelling, validation, monitoring, alerting, and QA. Collaborate with technical leads, participate in code reviews, document processes, and use infrastructure as code, CI/CD, version control, and AI-assisted development to improve reporting accuracy, traceability, performance, and delivery efficiency.

Develop and maintain regulatory reporting systems across SQL Server and GCP BigQuery. Build automated ETL/ELT pipelines, migrate legacy solutions, and implement data modelling, validation, monitoring, alerting, QA, and documentation. Collaborate with technical leads, participate in code reviews, and use infrastructure automation and AI-assisted development to improve delivery quality, accuracy, traceability, and performance.

Develop and maintain regulatory reporting systems using near-real-time and batch data pipelines. Build cloud-native solutions in GCP and BigQuery, migrate legacy SQL Server systems, implement validation and monitoring, and support data transformation, QA, documentation, and code reviews. The role also involves using AI-assisted development tools and collaborating with technical leads to improve automation, reliability, and efficiency.

Develop and maintain probabilistic pricing models for sports betting markets. Analyze large-scale sports datasets, apply machine learning, optimize model accuracy and computational efficiency, resolve model-related bugs, and support departmental technical solutions. Collaborate with data scientists, traders, software developers, and trading teams to incorporate domain expertise into pricing algorithms and betting products.