About this role
- 7–9 years of hands-on experience in data engineering, preferably in the payments/financial services domain.
- Extensive experience with ETL/ELT frameworks and data pipeline tools.
- Strong programming skills in Scala, Python, SQL; experience with Java is a plus & shell scripting is mandatory.
- Strong SQL and database optimization skills; experience with NoSQL is a plus.
- Familiarity with orchestration tools such as Airflow, Prefect, Luigi, or similar.
- Experience working with big data technologies (Hadoop/Spark) preferred.
- Knowledge of data modelling (star/snowflake schemas), dimensional design, and BI performance optimization.
- Understanding of data quality frameworks, metrics, test automation tools, and monitoring.
Domain Knowledge
- Strong understanding of payments processing, transaction lifecycle, settlements, authorizations, disputes/refunds, and reconciliation flows.
- Experience with payment gateways, merchant acquiring, issuing, and banking interfaces is a plus.
- Familiarity with compliance and security standards relevant to payments (e.g., PCI-DSS).
Other facts
About Opus
Opus is a technology-driven growth company in the vehicle inspection and intelligent vehicle support markets. The company has a strong focus on customer service and innovative technology within emission and safety testing and intelligent vehicle support.
With approximately 2,600 employees, Opus is headquartered in Gothenburg, Sweden. Opus has 34 regional offices, 24 of which are in the United States and the others in Sweden, Argentina, Chile, Mexico, Peru, Pakistan, United Kingdom, Spain and Australia. Opus has production facilities in the U.S. in Hartford, Ann Arbor and Tucson. The shares of Opus Group are listed on Nasdaq Stockholm.
Opus had approximately SEK 2.5 billion in revenues in 2018 with solid operating profit and cash flow. Opus’ goal is to reach an annual revenue growth of 5-10 percent, through organic and acquisitive growth based on 3-year CAGR, and an EBITA margin of 15 percent. The majority of the growth is estimated to come from the international expansion of the vehicle inspection business, with a primary focus on the Latin American and Asian markets, and the expansion of the intelligent vehicle support business.
What you'll do
- The Tech Lead - Data Engineer will be responsible for designing and implementing data pipelines and ETL processes. The role requires collaboration with cross-functional teams to ensure data quality and performance optimization.
Ready to join Opus?
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