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Job DescriptionSenior Data Engineer contract - Snowflake / Python - Greenfield - £650 per day insideLeading eCommerce client are now searching for a Senior Data Engineer to play a pivotal role in delivering their new greenfield data platform.This role will shape our client’s data function, delivering end to end data requirements and designing data
Job Description JVM / Data Engineer - Permanent
Looking for a Senior JVM/Data Engineer to work on a new project at a Fintech client of ours. Ideally looking for a Java or Kotlin Developer who has a strong understanding in the Data Engineering space.
Client - Fintech
Stack - Java, Kotlin, Python, Airflow, Snowflake, Terraform, Spark, AWS.
1
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AWS / Bedrock / Glue / EKS / Redshift
Contract - Inside - London
Harrington Starr have partnered exclusively with a long-standing client of ours within the commodities trading space who are looking to increase headcount within their Data Engineering team at the start of the year here with 2024.
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Job Source: Harrington Starr
Senior Data Engineer
London
Job DescriptionJob Description: Data Engineer (Specialist/Professional)Work Location: London / Birmingham, UKPlatform: GCPPosition Overview:We are seeking a skilled and experienced GCP Data Engineer to join our team. As a GCP Data Engineer, you will be responsible for designing, implementing, and maintaining our data infrastructure and pipelines on the Google Cloud Platform (GCP).Key Responsibilities:Design & Development:Design and implement data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc.Work with other DEs to integrate data solutions into existing or new applications.Develop and manage data integration processes to extract data from various sources, transform and cleanse it, and load it into appropriate data storage systems.Implement robust ETL processes to ensure data quality and consistency.Data Modeling and Optimization:Design and implement data models and schemas that meet business requirements and support efficient data retrieval and analysis.Optimize data structures and queries for performance and scalability.Monitoring and Maintenance:Monitor data pipelines and processes for data quality issues.Troubleshoot and resolve data-related problems in a timely manner.Perform regular data backups and implement disaster recovery procedures.Collaboration and Documentation:Collaborate with cross-functional teams to understand data requirements and provide technical guidance and support.Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability.Qualifications and Skills:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Proven experience as a Data Engineer, preferably with a focus on Google Cloud Platform.Strong knowledge of GCP services such as Cloud Storage, Big Query, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Airflow, DAG etc.Proficiency in SQL and experience with Data Modeling and Optimization.Experience with data integration and ETL processes.Familiarity with programming languages such as Python.Understanding of data security and compliance requirements.Excellent problem-solving and troubleshooting skills.Strong communication and collaboration skills.Note: This job description is intended to outline the general nature and level of work performed by employees within this role. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Other duties may be assigned based on business needs and the employee's abilities.