Senior Data Engineer

Job Description

***Please note, you will need to be able to gain full security clearance for this role and happy to work on-site in a remote area near to Salisbury x3 per week***

Your New Company

Last year saw Landmarc sign a new 10 year contract with the MOD which has provided 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 that Landmarc 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.

Landmarc 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 our 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 our data platform cloud migration, upskilling and developing rapidly while maintaining our legacy systems.

What You’ll Need to Succeed

1. Essential Skills and Experience:
2. Several years of experience as a Data Engineer, with hands-on involvement in developing and optimising data pipelines.
3. Strong knowledge of data engineering techniques, ELT processes, data quality frameworks, and data pipeline orchestration.
4. Extensive experience with cloud-based data platforms (e.g., Databricks, Snowflake, FiveTran, Microsoft Fabric).
5. Advanced SQL skills and experience with Microsoft SQL Server technologies (SSIS, SSAS, SSRS).
6. Expertise in data modelling using Kimball methodology.
7. Proven leadership and mentoring abilities.
8. Excellent technical documentation skills.
9. Desirable Skills and Experience:
10. Experience with cloud data platforms (Azure, AWS, GCP).
11. Familiarity with machine learning and AI concepts.
12. Experience in data platform migrations and integration tools (e.g., Apache Airflow).
13. Knowledge of Python or other programming languages.
14. Certification in relevant data engineering or cloud platforms.
15. Personal Attributes:
16. High level of accuracy and attention to detail.
17. Strong analytical and problem-solving skills.
18. Effective communication and teamwork abilities.
19. Ability to work under pressure and manage conflicting demands.

What You’ll Get in Return

1. A competitive salary and benefits package.
2. Opportunities for continuous learning and professional development.
3. A supportive and collaborative work environment.
4. The chance to work on exciting projects and cutting-edge technologies.
5. The opportunity to make a significant impact on our data strategy and operations.

Apply now to be part of a team that values integrity, customer focus, and continuous improvement.

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