Data Engineer

We are seeking a talented and experienced Data Engineer to join our growing team. As a Data Engineer, you will help with designing, developing, and maintaining our Data and Analytics Platform. You will be responsible for collecting, cleaning, and transforming data from various sources, as well as building and deploying data pipelines in Apache Airflow. You will also work closely with Data Analysts and Scientists to ensure that our data is accurate, reliable, and accessible. 

 

Knab was founded in 2012 because we wanted to do things differently. Simpler, smarter, and more advantageous for our customers. Because we believe we can help everyone maximize their financial affairs. "Feel at ease when it comes to your finances. Every day." By combining smart technical solutions with a healthy dose of human intelligence, we create financial services that really meet our customer's needs. Add to that some of the sublime personal service from our employees and you end up with something that's truly unique to the world of finance! 

 

Your main responsibilities:  

  • Design, develop, and maintain our Data and Analytics platform running in AWS. 
  • Collect, clean, and transform data from various sources, including databases, APIs, and files using PySpark. 
  • Build and deploy data pipelines to automate the ingestion, transformation, and storage of data. 
  • Collaborate with Data Analysts and Scientists to ensure that our data is accurate, reliable, and accessible. 
  • Troubleshoot data quality issues and optimize data performance. 
  • Stay up-to-date on the latest data engineering technologies and trends. 

 

The department and team:

The Expert Center Data and Analytics (ECDA) department consists of 35+ dedicated data professionals with a big heart for the business value of Data. ECDA consists of four teams: Data Science, Enterprise Data Office, Data Warehousing, Data Engineering & DBA. The department works with all functions of Knab and is Knab’s Center of Excellence for “all things data”. We play a key role in managing Knab data as a strategic business asset, providing actionable insights and intelligent analytics, innovate with AI and enable Knab to become the data-driven #1 bank for entrepreneurs. You will report to the Manager Data Engineering, while working closely with multiple stakeholders (i.e. Data scientists, Data Analysts) from various teams across Knab to help us achieve our common objectives. 

 

Your profile:

There is no predefined route to become a great Data Engineer at Knab. But to be successful in this role, this is the kind of profile we have in mind: 

  • Bachelor's or Master’s degree in Computer Science, Data Science, AI or a related field. 
  • At least 5 years of experience in Data Engineering: big data infrastructure, distributed computing, designing and managing large data processing systems. 
  • Proficient in Python, SQL, and (Py)Spark. 
  • Experience with data Lakehouse architectures, data warehouses and data lakes. 
  • Must be familiar with big data technologies like Hadoop, Spark and Kafka.
  • Experience with cloud platforms such as AWS or Azure and preferably. infrastructure as code paradigms (e.g. Terraform or CloudFormation).
  • Excellent problem-solving and analytical skills.
  • An engineering mindset; focus on problem solving, getting things to work and the ability to think creatively.  
  • Ability to work independently and as part of a team.
  • Excellent communication and collaboration skills.
  • Data Engineering related certifications are a plus. 

 

Diversity statement:  

Come as you are. Knab is an open workplace with positive vibes. We are inclusive of all nationalities, races, and genders. We feel comfortable to bring our authentic whole selves to work and like you to do so too. 

 

Work with us!

If you come to work with us, Knab will become a significant part of your life. Therefore, we make sure the ambiance is just as exciting as your job. If you have any questions regarding this role or the process, please feel free to reach out to us! 

 

We don't collaborate with third parties to fulfill this role.  

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Aoife Hayton



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