At a Glance
- Tasks: Implement and support the BigID platform for data governance and privacy initiatives.
- Company: Join a top global organisation with a focus on innovative technology solutions.
- Benefits: Competitive daily rate, flexible onsite work, and a chance to enhance your skills.
- Other info: Exciting opportunity for career growth in a collaborative tech landscape.
- Why this job: Make a real impact on enterprise data management and governance in a dynamic environment.
- Qualifications: Experience with BigID, data engineering, and strong communication skills.
The predicted salary is between 37800 - 52500 £ per year.
Our client, a top global organization, is seeking an experienced BigID Engineer to support enterprise-wide data governance, privacy, and data retention initiatives across a complex technology landscape. As a BigID Engineer, you will be responsible for implementing, configuring, and supporting the BigID platform across multiple enterprise data sources. You will enable automated data discovery, classification, retention, and governance while working closely with business stakeholders and technical teams to ensure successful platform adoption and compliance.
Key Responsibilities
- Implement, configure, and maintain the BigID platform and associated modules
- Configure data discovery, classification, tagging, and retention capabilities
- Enable policy-driven governance across enterprise data environments
- Maintain platform configuration and operational documentation
- Develop data ingestion pipelines for scanning and retention
- Configure connectors for databases, cloud platforms, SaaS applications, and file systems
- Onboard new enterprise data sources into BigID
- Integrate BigID with existing data platforms and governance processes
- Implement enterprise data retention policies and workflows
- Support compliance with privacy and regulatory requirements
- Improve enterprise data visibility and governance capabilities
- Collaborate with governance SMEs to implement policy-driven controls
- Optimise scanning performance and platform efficiency
- Troubleshoot technical issues and resolve performance bottlenecks
- Produce technical documentation, runbooks, and operational guidance
- Support continuous improvement across governance and data management processes
Essential Skills & Experience
- Hands-on experience implementing and supporting BigID
- Strong data engineering and ETL pipeline development experience
- SQL and NoSQL database expertise
- Experience with AWS, Azure, or GCP
- Strong understanding of data governance and data privacy
- Experience onboarding enterprise data sources
- Knowledge of data discovery and classification technologies
- Strong troubleshooting and performance optimisation skills
- Excellent communication and stakeholder engagement skills
Desirable Skills
- OneTrust
- Collibra
- Snowflake
- Data analytics platforms
- Docker
- Kubernetes
- DevOps practices
- Enterprise data governance programmes
Please apply with your CV and we'll be in touch. Thanks!
BigID Engineer in Slough employer: Queen Square Recruitment
Join a leading global organisation that prioritises innovation and employee development in the heart of London. As a BigID Engineer, you will thrive in a collaborative work culture that values your expertise while offering competitive daily rates and flexible onsite arrangements. With a strong focus on data governance and privacy, this role provides unique opportunities for professional growth and the chance to make a significant impact across enterprise data initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land BigID Engineer in Slough
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We think you need these skills to ace BigID Engineer in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Queen Square Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Queen Square Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Queen Square Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Queen Square Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Queen Square Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Queen Square Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Queen Square Recruitment.
