Swicon Stories
Real people. Real challenges. Real impact.
„The whole hiring process was a really positive experience for me. I was given the opportunity to move forward professionally and to test myself in a new, more senior role. I was trusted from the start, and I had all the support I needed to take the next step in my career with confidence. They connected me with the right technical contact, and every question I had was answered quickly and clearly, so I never felt left on my own. Communication was smooth, each step built on the one before, and the whole process moved surprisingly fast and without a hitch.”
K. R. – Solution Architect
“Looking back over more than 15 years, Swicon gets top marks from me: it has built itself into a fast-growing multinational, and all the while it has backed its people professionally across the board — it even supported my PMP certification with a proper training course.”
B. T. – Sr. Projectmanager
“I’ve been working with SWICON for almost a year and a half now, and it’s been a positive experience from start to finish. Both the hiring process and the admin side of things ran smoothly, and whenever I had a question, help came quickly. I particularly appreciate how kind and helpful my colleagues are, and the fact that the company genuinely invests in building a community — there are regular programmes and events.
I’ve grown a lot professionally in my time here, too. My tasks and my responsibilities have kept widening, I’ve been able to take on more complex challenges, and I’ve also had the chance to support and mentor others. On the IT side I’ve been given opportunities that made a real difference to where I am professionally, so on the whole I see SWICON as a supportive place that gives you genuine room to grow.”
M. L. – Software developer
Powering mission – critical operations across Europe
200+successful transformation programs
50Msecure transactions every month
20+years of enterprise expertise
Trusted by enterprise leaders across the world
ROU Bucharest remote senior SwiconGroup is one of the leading members of the IT arena for almost a decade, since 2017 present also in Romania. Our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance and telecommunication companies, as well as large FMCG corporations and SSCs amongst our highly prestigious partners. Develop a comprehensive technical plan for the migration, including data ingestion, transformation, storage, and access control within Azures Data Factory and data lake.Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.Develop scalable and reusable frameworks for data ingestion.Ensure data quality and integrity throughout the data pipeline, implementing robust data validation and cleansing mechanisms.Work with event-based and streaming technologies to ingest and process data.Provide technical guidance and support to the team, resolving technical challenges or issues during the migration and post-migration phases.Stay current with advancements in cloud computing, data engineering, and analytics technologies, recommending best practices and industry standards for implementing data lake solutions. • Developing and managing scalable data pipelines/data workflows using Databricks for buildingAI/ML solutions.• Developing integrated software solutions for AI/ML models.• Developing and maintaining scalable ML pipelines.• Works with CI/CD teams for seamless model deployment.• Implement end-to-end (E2E) AI solutions within Databricks and Cloud environments.• Apply MLOps practices for effective model lifecycle management, including the use of CI/CD toautomate model development and deployment workflows.xperience with Databricks. 5 to 7 years of IT experience.Minimum of 2 years of experience working with Azure Databricks.Expertise in Data Modeling and Source System Analysis.Proficiency with PySpark.Mastery of SQL.Knowledge of Azure components: Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL.Experience with Python programming for data engineering purposes.Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.Experience with data visualization and exploration tools. Flexible and dynamic work environment involving teams spread across different global locations; Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society; Do you want to learn more? You will have access to various training programs and platformsAttractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).Friendly and welcoming work environment with an international working atmosphere where you can practice and learn new language skills with a diverse mix of colleagues and clients.A dynamic work environment with a culture that is open, innovative and performance orientated.