Lead Data Engineer

About Nintex: 

At Nintex, we are transforming the way people work, everywhere.  

As the global standard for process intelligence and automation, we're trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.

We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.  

About the role: 

Nintex is searching for an experienced Data Engineer to own & maintain Nintex’s data warehouse, backend data systems, and data replication platforms. This individual will shape the future state of Nintex’s internal data architecture, data strategy and ETL to help power our growth agenda.   

In this role you will help develop our data landscape and help us become more scalable and automated in our data processing. You will help us achieve this by developing our data platforms Azure Databricks, building datasets to enable analytics, creating and defining schema and overall data structure to align with best-in-class practices. You will be responsible for implementing and maintaining expected security, privacy and data compliance related access/permissions. 

Your contribution will be: 

• Continue refining our company data architecture, BI, analytics and Data Science platform for marketing, sales, product and business insight and optimization. 
• Curate custom data sets from company databases to drive optimization and improvement of product development, marketing & sales techniques and business strategies.
• Manage prioritization of data projects, including scoping and sizing projects and determining business justification/urgency.
• Work with team members to identify opportunities for improving efficiency, cost saving, and new technology to better accomplish data needs
• Gather requirements, iterate with stakeholders to genuinely understand their needs and how to best visualize their data, followed by design, deployment and on-going enhancements.
• Identify data source gaps and help define the business tools and processes to begin capturing the right data to answer business questions.
• Ensure a high-level of data quality and accuracy across all relevant data sources. 
• Set up data quality alerting and communicate effectively when data quality is compromised.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.  
• Provides coaching, direction and leadership support to junior employees to achieve company and customer results.  

To be successful, we think you need:  

• 7+ years of experience managing data warehousing solutions, creating data architectures and ability to autonomously manage data projects 
• Demonstrated experience in developing and managing ETL processes and data pipelines in a cloud environment, Azure strongly preferred
• Strong Experience using the following technologies: Azure Databricks, Python & Pyspark
• Hands-on experience with data replication and integration tools such as CData and Fivetran to automate and manage data flows.
• Experience with data from 3rd party providers: Google Analytics, Salesforce, Asana, Outreach
• Expertise in SQL, data modeling, and schema design to ensure efficient and scalable data structures.
• Comfortable working with version control systems
• Excellent communication skills with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, ensuring alignment across teams.
• Effective in working cross-functionally with data analysts, IT, and product teams to ensure data solutions align with business needs.  
• The drive to learn and aptitude to master new technologies and techniques
• Humility, Kindness, and Curiosity 

What’s in it for you? 

Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is a hybrid role in our local Nintex office.

While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including 

• Global Gratitude and Recharge Days
• Flexible, paid time off policy
• Employee wellness programs and counseling resources
• Meaningful peer recognition and awards
• Paid parental leave
• Invention/patenting assistance
• Community impact, paid volunteer time, and opportunities
• Intercultural learning and celebration
• Multiple tools through which to learn and grow, and an incredible global community 

View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.