Data Engineer

At PAR Technology, our relentless drive for innovation and unwavering commitment to customer success are at the heart of everything we do. We lead the restaurant and retail industries by ensuring that our products – from point-of-sale systems to loyalty programs, digital ordering, restaurant operations solutions, payment services, and hardware – work “better together.” This unified approach, fueled by over 40 years of experience, amplifies our ambition to not just meet but exceed the evolving needs of our global clientele. By optimizing integrations into all leading restaurant solutions, we’re not just creating technology, we’re crafting a future where operations are streamlined, experiences are enhanced, and every interaction is an opportunity for growth.

Position Description

We are seeking a Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to our success.

Requirements:

· Experience: 2-4 years of experience in data engineering or related roles

· Problem-Solving Skills: Proactive approach to troubleshooting and optimizing solutions

· Communication: Ability to convey technical concepts to non-technical stakeholders

· Continuous Learning: Commitment to staying updated with industry technology trends

With a side of (additional skills):

· Programming: Python, SQL

· Data Modeling: Basic understanding of data modeling concepts and practices

· Big Data Technologies: Familiarity with Spark; exposure to Databricks is a plus

· Databases: Experience with relational databases (Postgres); exposure to NoSQL

· CI/CD: Basic understanding of CI/CD tools like Github Actions

· Cloud Platforms: AWS or Azure and their data solutions

· Version Control: Git, Github

What you will be doing and owning:

· Designing and implementing efficient data pipelines

· Keeping aware of emerging technologies and best practices in data engineering

· Contributing to code reviews and providing constructive feedback to peers

We offer:

- Long-term employment;

- Competitive compensation with regular performance based salary and career development reviews;

- 22 working days of vacation per year;

- 8 paid sick leave working days per year;

- Health insurance programme;

- Flexible working hours;

- Comfortable and cozy office or full remote;

- Sponsored company educational program, corporate library;

- Funny celebrations, team outings and company events;

- Unique and friendly environment where everyone can explore and learn new technologies.