Please note that at this time, we are not accepting resumes from external agencies or recruiters. Any unsolicited resumes will not be considered and will not obligate Hakkoda to any referral fees.
About Hakkōda
Hakkōda is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!
Role Description:
We are seeking a Lead Data Engineer to join our growing team of experts. In this role, you will be responsible for designing and developing solutions within the Snowflake Data Cloud, for international clients across industries.
The ideal candidate must be a skilled data pipeline developer with experience in migration and a strong interest in optimising data systems and building them from the ground up.
The Lead Data Engineer will focus on developing database architectures and managing data warehouses to ensure the consistent application of optimal data delivery frameworks across customer projects. Your responsibilities include overseeing data ingestion pipelines, designing scalable data architectures, and ensuring strong data governance and security practices. In addition, you will mentor junior engineers, guiding them in the design and implementation of innovative data solutions. We are seeking someone who is enthusiastic about joining a growing global company and helping shape the future of our customers' next-generation data initiatives.
Qualifications:
- Bachelor’s degree in engineering, computer science, or a related field.
- 5+ years of experience in related technical roles, including data management, database development, ETL, data warehouses, and data pipelines.
- Proficient in English, both written and spoken.
- Proven expertise in evaluating, selecting, and integrating data ingestion technologies to tackle complex data challenges.
- Expertise in making architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics.
- Experience mentoring junior engineers in best practices for data ingestion, performance optimization, and troubleshooting.
- Hands-on experience in designing and developing data warehouses (e.g., Teradata, Oracle Exadata, Netezza, SQL Server, Spark).
- Proficiency in building ETL/ELT ingestion pipelines using tools such as DataStage, Informatica, or Matillion.
- Expertise in SQL scripting.
- Cloud experience with AWS (Azure and GCP are also beneficial).Proficiency in Python scripting.
- Ability to prepare reports and deliver presentations to internal and external stakeholders.
- Proven problem-solving skills with a proactive, action-oriented mindset.
- Strong interpersonal skills, including assertiveness and the ability to build solid client relationships.
- Experience working in Agile teams.
At Hakkōda Portugal, we believe in giving you the freedom to work from wherever you feel most productive. As a remote-first company, we understand that some days you may prefer the quiet of your home, while other times, you might thrive in a more dynamic environment. That’s why we offer full access to our cozy co-working space in the heart of Lisbon (Saldanha), giving you the best of both worlds.
Benefits:
Comprehensive health insurance
Competitive meal allowance
Annual bonus opportunities
22 days of paid time off, plus 2 additional days (your birthday and Christmas Eve)
Initial home office budget
Work-from-home allowance
Technical training and certification programs
