Your new company
Last year saw my client sign a new 10-year contract with the MOD, providing the opportunity and platform to embark on a significant Digital Transformation programme.
The digital transformation programme is designed to revolutionise operations by resetting the technology requirements to ensure my client is well-placed to deliver maximum value on the new contract term. By leveraging advanced data and reporting tools, the programme aims to enhance performance and efficiency across all departments, digitising operations to streamline processes and reduce manual workloads, complemented by introducing some new leadership roles to refresh and bring in innovative perspectives.
My client is committed to doing things differently, fostering a culture of innovation that prioritises customer and user focus and delivers technology quickly and efficiently.
Your new role
As the Senior Data Engineer, you will design and deliver scalable and efficient data architectures to meet ever-evolving data needs. You will oversee the development of semantic data models, ensuring seamless collaboration with Data Analysts. Your role will integrate data quality measures into all phases of the data lifecycle, establishing a proactive approach to data integrity and reliability. As the senior technical leader of the data engineering team, you will ensure our ELT processes adhere to best practices, lead the team, and ensure data availability and pipeline orchestration. You will also play a key role in a data platform cloud migration, upskilling and developing rapidly while maintaining our legacy systems.
What you'll need to succeed
Essential Skills and Experience:
Several years of experience as a Data Engineer, with hands-on involvement in developing and optimising data pipelines.
Strong knowledge of data engineering techniques, ELT processes, data quality frameworks, and data pipeline orchestration.
Extensive experience with cloud-based data platforms (e.g., Databricks, Snowflake, FiveTran, Microsoft Fabric).
Advanced SQL skills and experience with Microsoft SQL Server technologies (SSIS, SSAS, SSRS).
Expertise in data modelling using Kimball methodology.
Proven leadership and mentoring abilities.
Excellent technical documentation skills.
Desirable Skills and Experience:
Experience with cloud data platforms (Azure, AWS, GCP).
Familiarity with machine learning and AI concepts.
Experience with data platform migrations and integration tools (e.g., Apache Airflow).
Knowledge of Python or other programming languages.
Certification in relevant data engineering or cloud platforms.
Personal Attributes:
High level of accuracy and attention to detail.
Strong analytical and problem-solving skills.
Effective communication and teamwork abilities.
The ability to work under pressure and manage conflicting demands.
What you'll get in return
A competitive salary and benefits package.
Opportunities for continuous learning and professional development.
A supportive and collaborative work environment.
The chance to work on exciting projects and cutting-edge technologies.
The opportunity to make a significant impact on our data strategy and operations.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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