Meet Unit4. With over 40 years of heritage, we’re an agile, fast growing, Cloud company that is on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations.  

With our innovative, self-driving, adaptive and intuitive software, our customers can spend more time on meaningful high-value work.  

At the heart of what we do lies a simple yet profound purpose: Improve how people work by focusing on what truly matters. — A powerful statement that enables different priorities for different people. 

We’re shaping how work should feel, and we empower our people by providing them with the right tools to achieve the autonomy they need - it's what makes us unique. 

Who we are  

We are a people-first community that nurtures all the areas that surround your working experience. With us, you’ll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness.  
 
We believe that ‘How work should feel’ is an evolving statement. Work goes beyond tasks and everyday responsibilities it’s about feeling valued, empowered, promoted, impactful, seen, and appreciated. 

We are reimagining how work makes people feel.  

Overview: As a Data Engineer specializing in Snowflake, you will play a pivotal role in designing, implementing, and maintaining the data architecture for our organization. Your expertise in Snowflake, a cloud-based data warehousing platform, will be essential in optimizing data workflows, ensuring data quality, and enabling efficient data analysis and reporting.

Responsibilities:

1. Data transformations and Design:
   • Collaborate with cross-functional teams to understand data requirements and design scalable and efficient data transformations using Snowflake.
   • Develop and maintain the data architecture, ensuring it aligns with business goals and industry best practices.
2. Snowflake Implementation / Maintenance:
   • Configure and optimize Snowflake environments to meet performance and scalability requirements.
   • Implement and maintain data pipelines and ETL processes using Snowflake features and functionalities.
3. Data Modeling:
   • Design and implement data models, ensuring they support the analytical needs of the organization.
   • Work closely with data scientists, analysts, and other stakeholders to understand data usage patterns and optimize data structures.
4. Performance Optimization:
   • Monitor and optimize query performance in Snowflake, identifying and addressing bottlenecks in data processing.
   • Implement best practices for data storage, indexing, and partitioning to enhance overall system performance.
5. Data Integration & Automation:
   • Integrate data from various sources into Snowflake, ensuring data consistency, accuracy, and timeliness.
   • Managing and maintaining existing, and creating new Data pipelines.
   • Collaborate with data source owners to establish and maintain data ingestion processes.
   • Develop and deploy machine learning models to automate processes and integrate customer data across multiple systems of record.
   • Regularly evaluate the performance of deployed models and adjust them to ensure they meet evolving customer and business needs.
   • Build predictive models to anticipate Internal data needs, enabling proactive support and decision-making.
6. Security and Compliance:
   • Implement and enforce security measures to protect sensitive / confidential data within Snowflake.
   • Ensure compliance with data governance requirements.
7. Documentation:
   • Create and maintain comprehensive documentation for data engineering processes, Snowflake configurations, and data models.
   • Provide training and support to other team members on Snowflake best practices.
8. Collaboration:
   • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver effective data solutions.
   • Work closely with the IT team to integrate Snowflake with other systems and applications.

• Bachelor's degree in Data or Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with a focus on Snowflake.
• In-depth knowledge of Snowflake architecture, features, and best practices.
• Proficiency in SQL, experience with data modeling tools and experience with AI/ML framework.
• Strong problem-solving skills and the ability to optimize data workflows for performance.
• Experience with cloud platforms (e.g., Snowflake, Azure) and related services.
• Familiarity with data integration tools and ETL processes.
• Excellent communication and collaboration skills.
• Certifications in Snowflake or related technologies are a plus.
• Strong understanding of data integration practices and API connectivity across SaaS platforms

What we offer 

• a culture built on trust and accountability - giving you the freedom and autonomy to be successful and make an impact  

• balance - with our Flexible Leave Paid Time Off policy, remote working opportunities, Global Wellbeing Days, and other great benefits 

• growth opportunities - we provide the tools and guidance required so that you can focus on what really matters to you and so, ultimately, you can achieve your best work 

• talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry 

• a commitment to sustainability - with initiatives such as our Environmental, Social, and Governance strategy and Act4Good programme  

• a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all. 

Our commitment to equity  

Unit4 is committed to ensuring equal opportunity for everyone. We make our hiring decisions solely based on skills, qualifications, and our current business needs. We know that diversity brings fresh perspectives, ideas, and solutions to our company. This is the essence of our culture. We also welcome and encourage people who are pregnant and/or parents-to-be to apply. If you would like to know more about our commitment to diversity, visit our blogs:  

• Our focus to DEI remains central to who we are 

• Inclusive hiring at Unit4: Building equal opportunities for all 

Background check: 

This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries – we'll handle it according to local privacy laws and keep your information safe. Questions? Feel free to reach out!