Data Engineer (finance Systems)
Join our Finance Excellence Center in Lisbon as a Data Engineer! Lead data integration across billing, payroll, and customer systems to optimize our finance operations
Company Overview
team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of 2.700 experts serving its 3.3 million customers across Europe and beyond.
team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
Position Overview
We are building a new Finance Excellence Center in Lisbon (Portugal) to provide a complete finance service to our business. The company is currently implementing a new ERP tool across the group (NetSuite) and processes to improve and automate our Finance operations.
We are seeking a Data Engineer to join our team to support the implementation of the new ERP System and integrate data from all of the companies billing, payroll and customer billing systems. The ideal candidate will have strong data engineering and data integration experience, with the ability to work hands-on and actively support the setup of the new Center, with a strong drive to support ongoing process improvements.
Key Responsibilities:
- Implement ETL (Extract, Transform, Load) processes to ingest
data from various sources. - Ensure data quality, integrity, and reliability through
testing and validation. - Support the management and optimization of databricks unity catalogs and delta tables
- Monitor and maintain query performance and security.
- Develop APIs and other interfaces for data access and manipulation.
- Generate reports and visualizations to communicate data insights and pipeline performance.
- Provide technical support for data-related issues and troubleshoot problems as they arise.
Qualifications:
Educational Background:
• Bachelor's degree in IT/Computer Science; Data Science or related field
Technical Skills:
- Experience with Databricks or it’s related technologies (e.g.Apache Spark, Delta tables, Unity Catalogs) is desirable
- Basic understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Analytical Skills:
- Strong problem-solving skills and attention to detail.
- Ability to analyze complex data sets and identify patterns or anomalies
Soft Skills:
- Excellent communication and teamwork skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to manage multiple tasks and meet deadlines.
"Come as you are"
Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.
“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”
- Department
- Finance
- Locations
- Lisbon-Portugal
- Remote status
- Hybrid Remote
- Employment type
- Full-time
- Seniority
- Mid - Senior level
- LinkedIn Company Page
- team.blue
Lisbon-Portugal
About team.blue Global
The most trusted digital enabler
team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.
Data Engineer (finance Systems)
Join our Finance Excellence Center in Lisbon as a Data Engineer! Lead data integration across billing, payroll, and customer systems to optimize our finance operations
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