Key Responsibilities: Design and develop scalable data pipelines and architectures using Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Build and manage ETL processes to transform diverse data sources into structured, reliable formats. Collaborate with data scientists and analysts to deliver solutions that enable insights and smarter decisions. Maintain documentation for pipelines, data models, and architecture to ensure clarity and consistency. Troubleshoot and resolve data issues while safeguarding quality and integrity. Optimise data workflows for performance, scalability, and cost efficiency. Automate data-related processes to streamline operations. Stay ahead of industry trends and adopt best practices in Google Cloud Platform and data engineering. Requirements: Bachelors or Masters degree in Computer Science, Data Science, or related field. 5 years of experience as a Data Engineer or in a similar role. Strong programming skills in BigQuery, Python, SQL, and Google Cloud Platform . Proven experience with ETL development and data modeling . Familiarity with data lakehouse concepts and techniques. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Hands-on experience with Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Experience in financial services would be an advantage. Don’t miss out, apply today!

Minimum 5 years orchestrating the infernal symphony of data engineering ideally in the underworlds of credit, lending, or fintech A degree in Computer Science, Engineering, Mathematics, or similar the higher your academic arcana (Masters, PhD), the deeper you drink from the chalice of power Proficiency in the dark tools of the craft: Spark, Airflow, Snowflake, DBT, Kafka you summon them with but a whisper Languages: You speak SQL and Python as fluently as others breathe. Your dominion is the Google Cloud Platform A masters eye for data architecture, infrastructure, and modeling your blueprints dont just guide systems; they enslave them Bonus dark magic: Familiarity with credit data, risk models, and forbidden scrolls like FCRA and ECOA Ascend. Or be forgotten The hourglass empties. The throne of data is vacant. Take your place among the elite or rot in obscurity with the rest of the spreadsheet vermin. Contact Chelsea Fisher on

Responsibilities: Design and implement scalable data pipelines and architectures leveraging GCP services such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage. Build and maintain ETL processes to integrate and transform diverse data sources into structured, analytics-ready formats. Collaborate with Data Scientists and Analysts to deliver solutions that drive insights and support business decision-making. Develop and update documentation for data pipelines, models, and architecture to ensure transparency and alignment. Diagnose and resolve data-related issues promptly to reduce downtime and disruption. Continuously monitor and optimise pipelines for performance, scalability, and cost-effectiveness Education & Skills: Master’s Degree in Computer Science, Data Science or a related field 5 years’ experience as a Data Engineer, or similar role Strong programming skills in BigQuery, Python, SQL, and GCP Proven expertise in ETL Development, Data Modeling, and familiarity with data lakehouse concepts and techniques Experience with Google Cloud Platform (GCP) (including BigQuery) Apply now!