Senior 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.  

Working in engineering:  

Working at Nintex as an engineer means building more than just software; it’s about making a tangible impact with every line of code. Our engineers are process experts, developing the industry’s most complete process and automation platform to transform the way people work. If you’re interested, curious and want to learn and do more, the sky is the limit here. We take a solutions-oriented and collaborative approach, constantly innovating our business and products. 

About the role: 

You are responsible for ensuring the development of high-quality data engineering products and services, delivered on time and to acceptance criteria. 

You are a respected technical leader within your team and demonstrate ownership and technical excellence. Your advice is sought by your teammates to resolve complex technical problems. Your focus is on meetings your team’s requirements for data engineering solutions and you have vision for developing data engineering trends and how to apply them in novel ways to the most complex on your team

You will be joining a team with highly-motivated individuals with a strong-growth mindset - professionally and personally! The team is currently working on rolling out a new Data Platform for the entirety of Nintex by utilizing the latest cloud technologies.

This role is hybrid in Johannesburg.

Your contribution will be:  

• You identify and pursue opportunities to create or improve organizational data standards.
• You design and implement data engineering solutions that adhere to Nintex guidelines in support of security, disaster recovery, scalability, availability, reliability, and durability.
• You design, code, and unit test data engineering components and features that can be released / deployed through automation.
• You make informed recommendations about the data engineering technology appropriate for implementing a solution.  
• You improve data quality through testing, tooling and continuous evaluation of the data engineering process and product.  
• You work collaboratively with data analysts, data scientists to create valuable insights from complex data.  
• You contribute to the support and maintenance of products or services, including liaising with the support team to resolve issues that have been escalated to the product team.  
• You apply different data pipeline architectures appropriately to meet product requirements (data warehouse, data lake, data lakehouse, etc.).  
• You advise on the implications of different distributed storage and computing technologies when applied to the complex data engineering requirements.
• You contribute to the hygiene processes to improve and harden data delivery within the team.
• You are an active part of the incident management process, including on-call rotation and unblocking technical and operational decisions.
• You work with data providers to document the incoming data stream’s domain boundaries, field datatypes, and term definitions in sufficient detail to enable transformation of the data for end-user consumption.
• You contribute to organizational data standards and architectural patterns and practices for the data domain.

To be successful, we think you need:  

• 5+ years experience in data engineering
• Bachelor’s degree in computer science
• Cloud Platform, i.e. AWS / Azure / GCP
• Cloud DBMS, i.e. Databricks / Snowflake / Amazon Redshift / BigQuery
• Distributed Data frameworks, i.e. Hadoop / Spark / Flink
• Programming, i.e. Java / Scala / Python
• SQL, any variant is a good foundation but HiveQL / Spark SQL preferred
• Database modeling, i.e. Snowflake Schema / Star Schema / Data Vault

Additional skills (advantageous):

• Streaming and event-driven systems, i.e. Apache Kafka / Azure EventHubs / Spark Structured Streaming
• Data testing, i.e. unit tests and quality enforcement
• DevOps platform, i.e. Azure DevOps / GitHub
• Scripting, i.e. Bash / Powershell
• Infrastructure as code, i.e. Terraform / ARM templates / AWS Cloudformation

What’s in it for you? 

Our people work in the way that best suits them and their teams - whether at home, in an office, or another place that sparks creativity, focus, and collaboration. Our work environment is such that our people can successfully deliver their work while adequately supporting their lifestyle and preferences. 

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.  

Equity Statement: Preference will be given to People Living with Disability who are members of the designated groups in line with the Employment Equity Plan and Targets of the Company.

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