Contract, 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 & services, delivered on time and to acceptance criteria.   

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 is a one year contract.

Your contribution will be:  

• You participate actively in agile development cycle meetings.
• You design, code, and unit test data engineering components and features that can be released / deployed through automation.
• You ensure data completeness and correctness through cross-referencing to original data source.
• You design and develop ETL’s in line with best practices and techniques for data transformation and storage.
• You deliver data engineering functions that ingest, sanitize, and join data from multiple sources.
• You create data models that meets the needs of management stakeholders, data scientists, and analysts as required.   
• You analyze and evaluate data product/output to identify and recommend optimizations as required in its extraction, cleansing, and organization.
• You identify and pursue opportunities to create or improve organizational data standards.  
• You take ownership of assigned work and liaise proactively and collaboratively with stakeholders to ensure quality features are produced on time.
• You participate in technical and team interviews as directed and provide clear input into the decision-making process.
• You proactively communicate your work and progress to your manager, extended technical team, and stakeholders during the development process, and immediately escalate any product quality or delivery issues.
• You contribute to the support and maintenance of data engineering functions, including liaising with the support team to resolve issues that have been escalated.
• You are an active part of the incident management process, including on-call rotation and working with the IM team to resolve incidents.
• 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 design and implement data engineering solutions that adhere to Nintex guidelines in support of security, disaster recovery, scalability, availability, reliability, and durability. 

To be successful, we think you need:  

• 3+ 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
• Source Control, i.e. Git
• 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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