Job Overview
Building innovative solutions; enabling safer workplaces for everyone.
We’ll create a safer working world, building software to support a global network of responsible buyers, suppliers and partners. At Veriforce we take the pain out of compliance for over 50,000 organisations globally, helping them protect their people, their operations, and the planet. The tech we build today, will create a better tomorrow.
Department: Technology
Employment Type: Permanent
Location: Cardiff, UK
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational systems.
- Develop and optimize data models and storage solutions for performance, reliability, and scalability.
- Ensure data quality, integrity, and security across all stages of the data lifecycle.
- Collaborate with data scientists, analysts, and software engineers to deliver data solutions that meet business needs.
- Implement and maintain data infrastructure on cloud platforms such as AWS, Azure, or GCP.
- Monitor and troubleshoot data workflows to ensure high availability and minimal downtime.
- Automate data ingestion, transformation, and validation processes to improve efficiency.
- Stay current with emerging data technologies and recommend improvements to existing systems.
Qualifications
- Strong proficiency in SQL and experience with relational databases.
- Hands‑on experience with data pipeline development and ETL processes.
- Proficiency in Python.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data modeling, warehousing, and performance optimization.
- Familiarity with big data frameworks (e.g., Apache Spark, Hadoop).
- Understanding of data governance, security, and compliance best practices.
- Strong problem‑solving skills and ability to work in an agile environment.
Desirable
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of streaming data technologies (e.g., Kafka, Kinesis).
- Familiarity with infrastructure‑as‑code tools (e.g., Terraform, Ansible).
- Knowledge of data modeling, warehousing, and performance optimization.
- Familiarity with big data frameworks (e.g., Apache Spark, Hadoop).
- Understanding of data governance, security, and compliance best practices.
- Strong problem‑solving skills and ability to work in an agile environment.
- Exposure to machine learning workflows and data science tools.
- Experience with CI/CD pipelines for data workflows.
- Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
- Understanding of data cataloging and lineage tools.
- Strong communication skills for cross‑functional collaboration.
Benefits
- Hybrid workplace policy – work from the office 3 days per week.
- Enhanced parental leave.
- Generous annual leave.
- Healthcare plan.
- Annual Giving Day – an extra day to give back to yourself or your community.
- Cycle‑to‑work scheme.
- Pension scheme with employer contributions.
- Life assurance – 3X base salary.
- Rewards program – access to discounts and cashback.
- LinkedIn Learning license for upskilling & development.
Equal Opportunity
We are proudly an equal‑opportunity employer. We are committed to ensuring that no candidate is discriminated against because of gender identity and expression, race, disability, ethnicity, sexual orientation, age, colour, region, creed, national origin, or sex. We are dedicated to growing a diverse team while continuing to create an inclusive environment where everyone feels safe and empowered to be themselves.
Application Process
- A response to your application within 15 working days.
- An interview process consisting of:
- An initial discovery call with the recruiter.
- A first stage interview via Microsoft Teams.
- Additional interview (likely face to face) with the stakeholders you’ll be working with closely in the role.
Seniority level: Mid‑Senior level
Job function: Information Technology
We’re keen to ensure our hiring process allows you to be at your best, so if you need us to make any adjustments, please just let us know.
Candidate Consideration
Our recruitment team assesses all applications against the role and business needs. We believe in transferable and soft skills and consider candidates who do not meet all criteria but have the aptitude and capability needed to succeed. We will determine if we can offer the necessary support to upskill or provide developmental support needed for you to get the best out of this opportunity with us!
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