Senior Data Engineer
28stone
Leiria, Leiria District, Portugal
•2 horas atrás
•Nenhuma candidatura
Sobre
- At 28Stone, we specialize in delivering tailored software solutions for the financial services industry, working closely with major institutions in the US and UK to build high-performance systems for global capital markets. With over 200 professionals across North America and EMEA, we are a global IT consulting firm known for deep domain expertise and a focus on capital markets technology.
- We offer a unique opportunity: the ability to work on international projects within a friendly and collaborative environment. Our teams support the development and delivery of technology that helps drive efficiency, performance, and scalability for some of the world’s most advanced financial institutions.
- Since 2023, through our strategic collaboration with Stark & Partners, we have expanded into Portugal by launching a Software Engineering Delivery Center using the B.O.T. (Build-Operate-Transfer) model. This center is a key part of our global delivery strategy, and we are continuing to grow sustainably by hiring talented engineers and consultants who are eager to contribute to complex, global financial systems.
- We are proud to have received the Top 1% Workplace Award 2024 in the category. At 28Stone, we foster a culture of learning, openness, and collaboration - and we are always looking for positive, motivated individuals who want to grow their careers and make an impact through technology.
- Join 28Stone in Portugal and be part of a team that connects local talent to the global financial technology landscape.
- Your impact zone
- Design and develop Enterprise Data Warehouse solutions.
- Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
- Develop transformation processes using PySpark or SQL as per business data model requirements.
- ELT/ETL pipeline development experience using Azure Data Factory, Databricks workflow, etc.
- Experience in analyzing/researching solutions and developing/implementing recommendations accordingly.
- At least 4 years of data engineering experience.
- Strong analytical and problem-solving skills.
- Data Warehouse principles and data modeling experience.
- Advanced SQL expertise.
- Scripting language (e.g., Python, PowerShell) experience.
- Working experience with any cloud platform Azure, AWS, GCP.
- Ability to work both in a team and individually.
- Good written and spoken English communication skills - to communicate with international clients and colleagues.
- Considered an advantage
- Azure Cloud platform experience.
- Azure Databricks experience.
- MPP Data Warehouse solutions like Snowflake, RedShift, Databricks Unity Catalog.
- Capital markets industry knowledge or experience.
- Understanding and experience in implementing medallion architecture to ingest and transform data.
- Real-time data ingestion using Kafka.
- Hybrid & flexible work: Work remotely from anywhere in Portugal or from our co-working office in Leiria.(TECNEA Community).
- Annual training budget: Invest in your growth with an allocated budget each year.
- Tech communities: Join a team that fosters knowledge sharing and mentorship.
- Loyalty rewards: Receive company-branded gifts on your work anniversaries.
- Modern office setup: Ergonomic and fully equipped workspace in Leiria.
- Additional office perks include free snacks, fresh fruits, tea and coffee, board games, a ping pong table, a spacious cafeteria, and free parking.
- Social events: monthly lunches, team buildings, company-wide events.
- Coverflex: A flexible benefit for expenses like education, childcare, and sports.
- Compensation
- Annual Gross EUR 35,000 - 51, 800 EUR
- We are flexible and use an individual approach with each candidate we meet, so we invite you to apply even if you do not meet some of the listed requirements.
- Only candidates who have the right to work in Portugal are considered for this position.
- The mentioned remuneration may vary depending on the candidate’s skills, qualifications, and experience.



