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Description
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.
Department: Services
Location: Remote, UK
Description
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
● Minimum 5 years experience in industry
● 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.
The Ideal Candidate
● Enthusiastic, motivated self-starter
● 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.
* Remote work with regular team socials.
* Work with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
IT Services and IT Consulting
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