At a Glance
- Tasks: Manage and improve data quality in a renewable energy environment.
- Company: Leading tech provider transforming the Energy, Public, and Finance sectors.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Other info: Diverse team culture with support for all applicants.
- Why this job: Make a real impact on data management in renewable energy.
- Qualifications: Experience in data management and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Description
Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.
About the role:
As a Data Manager, you will support the effective management and governance of data within a renewable energy environment, helping to improve the quality, consistency and accessibility of business-critical information. Working closely with business and technical stakeholders, you will help develop and implement a centralised approach to managing data, supporting data governance, quality and standardisation across multiple data sources. The role will involve working collaboratively with project, engineering, environmental and operational teams to understand their data requirements and ensure information is managed effectively throughout its lifecycle. You will also support data management solutions and associated systems, helping to improve how data is structured, maintained and used across the organisation.
As a Data Manager, you will:
- Support the development and implementation of a centralised data repository for renewable energy generation data
- Develop and maintain data governance standards and processes
- Support the definition of data ownership and stewardship responsibilities
- Work with business and technical stakeholders to understand and document data requirements
- Support the design, implementation and integration of data management solutions and associated systems
- Help improve data quality, consistency and standardisation across multiple data sources
- Support data migration, validation and ongoing data maintenance activities
- Contribute to the development of data models, metadata standards and reporting frameworks
- Support effective master and reference data management practices
- Work collaboratively with project, engineering, environmental and operational teams to improve the management and use of business-critical data
- Identify opportunities to improve data management processes and capabilities.
Requirements
- Experience working within data management, data governance or information management
- A good understanding of data governance principles and practices
- Knowledge of master and reference data management
- Experience of data quality management and improvement
- Understanding of metadata management and data lifecycle principles
- Experience working with stakeholders to gather and understand data requirements
- Experience supporting data management solutions, system implementations, migrations or integrations
- An understanding of data integration and ETL processes
- Strong analytical and problem-solving skills
- The ability to communicate effectively with both technical and non-technical stakeholders
- The ability to manage multiple priorities and work collaboratively across different teams
Desirable experience:
- Experience within the energy, utilities, infrastructure or engineering sectors
- An understanding of asset, engineering, environmental or project data
- Experience working with database technologies such as SQL Server, Azure SQL, PostgreSQL or similar
- Familiarity with enterprise asset management systems such as IBM Maximo
- Knowledge of information governance standards such as ISO 9001 or ISO 27001
Benefits
At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.
Data Manager in Glasgow employer: Sword Group
Sword Group is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Glasgow. With a strong emphasis on employee growth, we offer extensive training opportunities and encourage professional development, particularly for those passionate about network engineering and security. Our commitment to delivering impactful projects in critical sectors ensures that our team members are engaged in meaningful work while enjoying a collaborative and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Glasgow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Manager in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sword Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sword Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sword Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sword Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
