Description
Senior Data Engineer
Department: Services
Employment Type: Permanent
Location: London, UK, Remote, UK, Remote
We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.
The role is 100% remote.
Key Responsibilities
- Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
- Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
- Develop data models and schemas to support efficient data storage and retrieval.
- Implement data quality and validation processes to ensure the accuracy and consistency of data.
- Optimize data processes and queries for performance and scalability.
- Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
- Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
- Implement data governance and security controls to ensure data privacy and compliance with regulations.
- Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.
Skills, Knowledge and Expertise
- Excellent understanding of Azure data tools, especially Databricks
- Proven experience as a Data Engineer, working with Azure data services.
- Strong understanding of data modeling concepts and relational and non-relational databases.
- Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).
- Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).
- Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.
- Knowledge of data governance and data security best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills to work effectively within a team environment.
- Experience with Agile methodologies is a plus.
- Comfortable problem solving alone as well as part of a team.
- Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues.
- Happy in a remote working environment.
- Keen interest in new technologies and learning about them.
Benefits
- Competitive salary and compensation package.
- Exclusive access to AWS & Databricks certifications, training, and partner tools.
- Remote work with regular team socials.
- Work with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.
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