Nasstar

Cloud-based IT solutions & modernization partner

Senior Data Engineer

Data EngineeringUpdated on Nov 13

Full-timeRemote in UKNo salary listedRemote

About the Job

Requirements

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 such as Azure Data Factory and Azure Databricks.
Experience with data warehousing concepts and technologies such as Azure Synapse Analytics and Azure Data Lake Storage.
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.
Comfortable solving problems independently as well as as part of a team.
Confidently reach out to stakeholders and colleagues to solve problems and understand issues.
Happy in a remote working environment.
Keen interest in new technologies and learning about them.

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 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 data accuracy and consistency.
Optimize data processes and queries for performance and scalability.
Collaborate with business stakeholders to understand data requirements and provide insights and solutions for data-driven decision-making.
Work closely with data scientists to provide the data and tooling needed to develop revenue-generating insights and models.
Implement data governance and security controls to ensure data privacy and compliance with regulations.
Stay updated with data technologies and trends, and recommend technology adoption and improvements.

Desired Qualifications

Familiarity with big data technologies and frameworks such as Hadoop and Spark.
Experience with Agile methodologies.

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.

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.

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.

About the Company

Nasstar

Cloud-based IT solutions & modernization partner

Nasstar provides cloud-based IT solutions that help businesses transform through cloud technologies, offering services like cloud optimization, application modernization, connectivity, and collaboration tools through consulting, managed services, and long-term support. It works by partnering with AWS and Microsoft and deploying a team of integrators, technical specialists, and strategic advisors to assess, design, implement, and continuously support cloud environments and applications. Its differentiators include high-level partnerships (AWS Premier, Microsoft Partner), a comprehensive end-to-end service package, and a focus on long-term transformation and ongoing support. The goal is to help businesses simplify IT, improve efficiency and productivity, and enable continuous transformation with scalable cloud solutions.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Wakefield, United Kingdom
Founded: 1998

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