Senior Cloud Data Engineer - Remote

Hire Resolve's client is looking for a Senior Cloud Engineer (Remote) to join their dynamic and growing Engineering team.

The ideal candidate will have strong expertise in Databricks, Spark, Lakehouse architectures, Delta Lake tables, and other modern data engineering technologies. They should be proficient in T-SQL and Python, with advanced coding abilities, and possess a deep understanding of cloud-based and cloudagnostic data architectures. This is a senior role that requires the ability to lead projects, mentor junior team members, and work independently on complex data engineering challenges.

Requirements:

Data Engineering & Cloud Solutions

• Architect, build, and optimize scalable and cloud-agnostic data solutions

using Azure, Databricks, Spark, Lakehouse, and Delta Lake tables.

• Develop, implement, and maintain big data pipelines for ingesting, processing, and

storing large volumes of structured and unstructured data.

• Manage and optimize data lake and data warehouse architectures for performance,

cost, and scalability

Cloud & DevOps

• Work within Azure environments (Azure Synapse, Data Factory, ADLS, etc.) to

develop and maintain cloud-based data solutions.

• Implement best DevOps practices for CI/CD pipelines, infrastructure-as-code, and

automation.

• Utilize Azure DevOps and Git for managing code repositories, version control, and

continuous integration/deployment.

Ensure high levels of security, compliance, and data governance across data

engineering processes.

Big Data Processing & Development

• Utilize Spark, Databricks, and distributed computing to process and analyse large

datasets efficiently.

• Write advanced Python and T-SQL scripts for data transformations, ETL/ELT

processes, and real-time data processing.

• Optimize performance for data pipelines and SQL queries for efficiency and costeffectiveness.
• Experience with Graph databases is a big advantage

Collaboration & Leadership

• Work closely with data scientists, analysts, and business stakeholders to understand

data requirements and develop solutions that meet business objectives.

• Lead initiatives to enhance data engineering capabilities, introduce new

technologies, and drive best practices.

• Mentor junior engineers, conduct code reviews, and contribute to building a culture

of technical excellence.

• Communicate effectively with technical and non-technical stakeholders, translating

complex data concepts into actionable insights.

Requirements:

• 6+ years of extensive experience.
• Education / Degrees: Computer science degree or comparable data engineering certification

in one of the cloud platforms.

Minimum required skills and experience:

• Extensive experience in cloud-based data engineering, with expertise in Azure (Azure

Synapse, Azure Data Factory, ADLS, etc.).

• Strong expertise in cloud-agnostic data tools such as Databricks, Spark, Delta Lake, and

Lakehouse architectures.

• Advanced proficiency in T-SQL and Python for developing complex data pipelines,

transformations, and optimizations.

• Hands-on experience in big data processing, ETL/ELT, and data pipeline orchestration.
• Solid understanding of data modelling, warehouse design, and data lakehouse architecture.
• Experience in setting up, managing, and processing with Azure DevOps (or similar DevOps

tools).

Strong knowledge of DevOps, CI/CD, Git, and infrastructure-as-code for automated

deployments.

• Excellent verbal and written communication skills, with the ability to collaborate across

teams and explain complex data concepts clearly.

• Ability to work independently on high-impact projects while maintaining a team-oriented

approach.

Interested applicants should submit their CV to Gaby Turner at [email protected] or you may forward your CV directly to the IT Department at [email protected]