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Lead Data Engineer

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.
  • 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.
  • 5+ years of experience in related technical roles, including data management, database development, ETL, data warehouses, and data pipelines.
  • 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.
  • Proficient in English, both written and spoken.


We encourage you to apply even if you don't have all of these qualifications.


At Hakkōda, we’re excited to connect with individuals who believe in our mission and are eager to grow with us — not just those who check all the boxes.


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 cosy co-working space in the heart of Lisbon (Saldanha), giving you the best of both worlds.


Other benefits we offer:

- 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

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What You Should Know About Lead Data Engineer, Hakkoda

Join Hakkōda as a Lead Data Engineer in the vibrant Lisbon Metropolitan Area, where you'll be at the forefront of designing and developing cutting-edge solutions within the Snowflake Data Cloud. We’re a growing team of dedicated experts committed to supporting international clients across various industries. In this role, you’ll leverage your extensive experience in data pipeline development and migration to optimize systems and build robust data architectures from scratch. A typical day will involve overseeing data ingestion pipelines while ensuring the implementation of high-quality data governance and security practices. Mentoring junior engineers will also be a key part of your role, as you'll guide them through the innovative design and implementation of data solutions. If you are passionate about shaping the future of next-generation data initiatives, have a collaborative spirit, and are enthusiastic about working in a remote-first environment, we want you on our team. At Hakkōda Portugal, you can enjoy the flexibility of working from home or join us in our comfy co-working space in Saldanha. With generous benefits like comprehensive health coverage, a competitive meal allowance, and training opportunities, we’re here to support your career growth. Come be part of a team that values innovation and excellence!

Frequently Asked Questions (FAQs) for Lead Data Engineer Role at Hakkoda
What does a Lead Data Engineer do at Hakkōda?

At Hakkōda, a Lead Data Engineer is responsible for designing and developing solutions within the Snowflake Data Cloud, overseeing data ingestion pipelines, and mentoring junior engineers. This role involves creating database architectures and managing data warehouses.

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What qualifications are required for the Lead Data Engineer position at Hakkōda?

Candidates for the Lead Data Engineer role at Hakkōda should have a Bachelor’s degree in engineering or computer science, over 5 years of relevant experience, and expertise in data management technologies, specifically within cloud environments like AWS.

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Is remote work possible for a Lead Data Engineer at Hakkōda?

Absolutely! Hakkōda is a remote-first company, so as a Lead Data Engineer, you have the flexibility to work from home or utilize our co-working space in Lisbon. We understand the importance of a productive work environment.

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What are the growth opportunities for a Lead Data Engineer at Hakkōda?

At Hakkōda, we prioritize professional development for our Lead Data Engineers, offering technical training, certification programs, and opportunities to mentor and grow alongside your team.

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How does Hakkōda support the mental well-being of its Lead Data Engineers?

Hakkōda supports the mental well-being of its employees with a comprehensive health insurance plan, as well as a flexible working environment that allows you to maintain a work-life balance that suits you.

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What technologies should I be familiar with for the Lead Data Engineer role at Hakkōda?

Familiarity with ETL/ELT frameworks, SQL scripting, and cloud platforms like AWS is essential for the Lead Data Engineer role at Hakkōda. Skills in Python scripting and data warehouse design are also beneficial.

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What is the company culture like at Hakkōda for a Lead Data Engineer?

Hakkōda promotes a culture of collaboration, innovation, and growth. We embrace a remote-first approach while offering a supportive and inclusive environment for our Lead Data Engineers to thrive.

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Common Interview Questions for Lead Data Engineer
Can you describe your experience with building scalable data architectures?

When answering this question, share specific projects or experiences where you designed scalable data architectures. Highlight your thought process in selecting technologies and frameworks that address the project requirements.

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What strategies do you employ for optimizing data pipelines?

Discuss your approach to identifying bottlenecks in data pipelines and the tools you use for monitoring performance. Provide examples of successful optimizations you've implemented in prior roles.

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How do you ensure data governance and security in your projects?

Explain your understanding of data governance practices and your experience implementing security measures. Be sure to mention how you stay updated with best practices in data regulation and compliance.

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What ETL/ELT tools are you proficient in, and how have you used them in your work?

Share your hands-on experience with ETL/ELT tools like DataStage or Informatica. Explain the types of projects you've executed using these tools, focusing on the outcomes achieved.

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How do you approach mentoring junior engineers?

Emphasize your method for mentoring, mentioning specific techniques you use, such as hands-on coding sessions or regular feedback. Share how your mentoring has led to skill enhancement in your mentees.

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Describe a challenging data migration project you worked on.

Detail the project, your role, the challenges faced, and the solutions you implemented. Highlight your ability to problem-solve under pressure and how you coordinated with others involved in the migration.

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How do you stay current with advances in data technology?

Discuss your methods for continuing education, such as attending workshops, following industry blogs, or participating in online forums. Mention any recent technologies you've learned about and applied.

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Can you give an example of a successful project where you used Snowflake?

Provide an overview of the project, focusing on how Snowflake's features helped achieve project goals. Highlight your role and the outcome, showcasing metrics if available.

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What challenges do you foresee in cloud data management?

Share common challenges you've encountered in cloud data management, such as data integration or ensuring uptime. Discuss your strategies for overcoming these challenges in your past roles.

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How do you prepare reports and presentations for stakeholders?

Explain your process for gathering data, analyzing it, and presenting it clearly to stakeholders. Provide examples of how your reports contributed to decision-making in previous projects.

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To ignite the power of data and embolden the changemakers to create a better world

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 26, 2024

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