Their people are truly at the heart of everything this company does. From their colleagues delivering ground-breaking solutions to the customers who use them: people have helped them grow for more than thirty years, and people are driving their future as a great SaaS company. They’re writing their next chapter. Be part of it!

Our client recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why they have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up their Flexible Human Work hybrid framework and they want to be transparent in what that looks like when you join their family. On one hand, their offices will continue to play an important role in their future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, they have learned to reimagine where and when they work and to unlock that flexibility and innovation for their colleagues offering them the opportunity to work flex across their home, company offices or customer sites.

Truly a company that focuses on their Diversity & Inclusion policy and wants to improve their female employee to male employee ratio #womenintech

The role…

1. The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions for the company’s Digital Network
2. Design, implement, automate, and maintain large scale enterprise data ETL processes
3. Build data expertise and own data quality for the pipelines you build.

4. Architect, build and launch new data models and data marts that provide intuitive analytics to your customers

5. Design, build and launch extremely efficient reliable data pipelines to move data (both large and small amounts) into and out of the Data Warehouse Design and develop new systems and tools to enable folks to consume and understand data faster
6. Dig into complex data sets and make sense out of them
7. Collect data from various systems and convert it into the source of truth for Financial, Accounting and Compliance domains
8. Partner with engineers and business stakeholders from various teams to build data insights and help them to achieve their business goals
9. Participate in code and design reviews to maintain our high development standards
10. Communicate complex concepts and results in a clear and effective manner
11. Embrace and champion Agile and Lean methodologies with a clear visibility on status and progress to the stakeholders

Relevant Experience

• Experience with databases (Oracle, SQL Server, PostgreSQL, etc.), data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.), or API technologies.
• Experience in high level programming languages such as Java, Scala, or Python
• Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
• Development of automated ETL processes for SQL databases
• Aptitude to independently learn new technologies
• Aptitude to independently learn new technologies
• Reason from first principles: always try break down problems into their smallest components, question prior assumptions, and think from the ground up before immediately trying to solve complex problems
• Solid overall experience with data governance, data architecture, and data integration

Bonus points for…

• Experience with large scale web application environment.
• Experience with Business systems preferably with CRM or Accounting experience.