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For Companies At a Glance
- Tasks: Design and develop business intelligence solutions, transforming data into actionable insights.
- Company: Join Landmarc Support Services, a leader in supporting Armed Forces training across the UK.
- Benefits: Enjoy a competitive salary, generous holiday, pension scheme, and professional development opportunities.
- Why this job: Be part of a digital transformation journey with cutting-edge BI technologies and a supportive team culture.
- Qualifications: Experience in data warehousing, SQL, and BI technologies like Microsoft Power BI required.
- Other info: Eligibility for BPSS & SC clearance and UK residency is necessary.
The predicted salary is between 47412 - 59118 £ per year.
Job Introduction
Join Landmarc Support Services Limited as a Data Professional and be at the forefront of our digital transformation journey. We are committed to enhancing data literacy and investing in our data platform to drive better decision-making. This role is crucial in managing our Business Intelligence and Analytics solutions, transforming data into actionable insights.
- Annual salary of £52,765
- Opportunity to work at the heart of a digital transformation
- Engage with cutting-edge BI technologies
The Role:
As a Data Professional, you will be responsible for:
- Designing, developing, deploying, and maintaining business intelligence solutions
- Crafting and executing data queries and presenting data through reports and visualisations
- Translating business needs into technical specifications
- Maintaining and supporting data analytics platforms
- Creating cubes and data marts within the data warehouse
- Conducting unit testing and troubleshooting
- Evaluating and improving existing BI systems
The Candidate:
We are looking for a skilled Data Professional with:
- Experience in data warehouse design and data mining
- Proficiency in database management systems, OLAP, and ETL frameworks
- Experience with SQL Server Analysis Services (SSAS) Tabular and BI technologies like Microsoft Power BI
- Strong SQL skills, including SSRS and SSIS
- Analytical mindset with problem-solving aptitude
The Package:
The Data Professional role offers an annual salary of £52,765. You will be part of a dynamic team at Landmarc Support Services Limited, contributing to our digital transformation. The role requires eligibility for BPSS & SC clearance, and candidates must meet UK residency requirements. Additional benefits include a supportive work environment and opportunities for professional growth.
At Landmarc Support Services Limited, we are dedicated to leading a digital transformation with data at its core. Our mission is to enhance our data platform and improve organisational data.
Join Landmarc and Enjoy a Competitive Salary Plus Outstanding Benefits!
At Landmarc, we value our employees and go beyond just offering a competitive salary. We\’re proud to provide a range of exceptional benefits designed to support your well-being, career growth, and work-life balance. Here are just some of the highlights:
Pension
- Join our company stakeholder pension scheme, with contributions of up to 8% of your salary from Landmarc.
Generous Holiday Entitlement
- Enjoy 25 days of annual leave pro-rata.
- Your holiday allowance grows with your continued service.
- Want more time off? You can purchase up to 10 additional days each year for greater flexibility.
Other Amazing Benefits
- Edenred Savings Scheme: Unlock exclusive discounts and savings for you and your family.
- Annual Salary Review: Conducted in consultation with our recognised Trade Unions to ensure fairness.
- Life Assurance: Insured for three times your annual salary to provide peace of mind for your loved ones.
- Health Cash Plan: Access health benefits for you and your family (add up to four children under 24 to your policy).
- Professional Development: Reimbursement of professional fees and support for ongoing training.
- Family-Friendly Policies: Supporting you during life\’s important moments.
- Sick Pay: Sick pay starts after just 6 months of service.
At Landmarc, we don\’t just offer benefits – we invest in your future, your well-being, and your career. Join us today and take advantage of everything we have to offer!
About the Company
Landmarc provides support services that enable Armed Forces from around the world to prepare for frontline military operations across the UK Defence Training Estate (DTE). This includes maintaining and delivering safe and sustainable infrastructure, managing and operating training areas and ranges, and delivering multi-million pound projects to improve vital training assets.
By joining Landmarc, you will be supporting our vision to provide the best training experience for our Armed Forces. We are the first and only Special Purpose Vehicle contracted by the Ministry of Defence (MOD) as their Industry Partner on the UK Defence Training Estate and the only company solely dedicated to the UK DTE, delivering essential support services since 2003.
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Data Engineer employer: Landmarc Support Services Limited
Contact Detail:
Landmarc Support Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific BI technologies mentioned in the job description, such as Microsoft Power BI and SQL Server Analysis Services (SSAS). Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Showcase your analytical mindset by preparing examples of how you've solved complex data problems in the past. Be ready to discuss your thought process and the impact of your solutions on previous projects.
✨Tip Number 3
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss your experience with data warehouse design and ETL frameworks in detail. Being able to articulate your technical skills and how they align with the role will demonstrate your suitability for the position.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data warehousing, BI solutions, and SQL technologies. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the digital transformation journey at Landmarc. Mention specific BI technologies you have worked with and how they relate to the role.
Showcase Your Technical Skills: Include specific examples of your experience with SQL Server Analysis Services, OLAP, and ETL frameworks. Highlight any projects where you transformed data into actionable insights.
Prepare for Potential Assessments: Be ready to discuss your analytical mindset and problem-solving skills. You may be asked to solve a data-related problem or present a case study during the interview process.
How to prepare for a job interview at Landmarc Support Services Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL Server Analysis Services (SSAS), Microsoft Power BI, and your proficiency in SQL. Be prepared to discuss specific projects where you've used these technologies to solve problems or improve processes.
✨Understand the Business Context
Research Landmarc Support Services Limited and their role in the digital transformation journey. Be ready to explain how your skills can help translate business needs into technical specifications and drive better decision-making.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical mindset and problem-solving aptitude. Think of examples from your past experiences where you successfully troubleshot issues or improved existing BI systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data platform and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of enhancing data literacy.
