Data Engineer

at  Amdaris

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

DATA ENGINEER REQUIREMENTS

Must hold current and transferable SC Clearance.

• Extensive experience as a Data Engineer, with a strong track record in designing, developing, and maintaining data architectures and pipelines.
• Expertise in SQL databases, particularly PostgreSQL and CockroachDB, with the ability to write efficient database queries and improve performance through advanced SQL techniques.
• Familiarity with NoSQL databases, with the ability to evaluate their advantages and disadvantages.
• Background in working with databases in secure environments, such as defence or financial sectors, ensuring compliance with industry regulations and data security standards.
• Ability to work closely with cross-functional teams and stakeholders, effectively communicating technical concepts and encouraging collaboration to achieve data-related goals.

DATA ENGINEER RESPONSIBILITIES

We’re looking for an experienced Data Engineer to join the team and play a key role in transforming our data architecture and pipelines.
As a Data Engineer, you will design, develop and maintain robust data solutions that enable us to effectively collect, process, and analyse large volumes of data. You will work closely with cross-functional teams and stakeholders to ensure integrity, accessibility and scalability of our data infrastructure. Your expertise will be essential in driving data-driven decision-making and supporting innovative projects across our clients.

KEY RESPONSIBILITIES:

• You will primarily focus on SQL Databases, with a strong emphasis on PostgreSQL and CockroachDB, while also providing insights into NoSQL solutions to evaluate their pros and cons.
• Utilising core SQL knowledge to write efficient database queries, with a focus on improving performance and covering existing knowledge gaps in SQL querying techniques.
• Engage in deployment and support of databases, ensuring best practices in configuration and maintenance are followed to enhance overall database performance and reliability.
• Leverage experience with databases in containerised environments to share insights on deployment and operational nuances, enhancing team understanding of containerised database solutions.
• Bring experience working with databases in secured environments (such as defense or financial sectors) to ensure compliance with industry standards and best practices for data security and assurance.