Associate Data Engineer

As an Associate Data Engineer at Hakkoda, your primary responsibilities will involve collecting, analyzing, and interpreting data to identify trends that help drive business decisions for our clients. You will work extensively with Snowflake Data Cloud solutions, design and develop data pipelines, and create easy-to-understand reports and visualizations that communicate your findings effectively. Collaboration with team members on data projects will be key, as will your ability to present data-driven insights to enhance marketing and operational practices.

To be considered for the Associate Data Engineer position at Hakkoda, candidates should have at least one year of relevant experience or a related educational background. Familiarity with data warehousing, ETL/ELT ingestion pipelines, and scripting in SQL, Python, R, or Scala is highly beneficial. Although cloud experience with platforms like AWS, Azure, or GCP is a plus, we encourage passionate individuals who may not meet all qualifications to apply, as a strong desire to learn and grow is valued at Hakkoda.

As an Associate Data Engineer at Hakkoda, familiarity with various data solutions and tools will give you an edge. Knowledge of Snowflake is essential, and experience with ETL tools such as Matillion or Fivetran, as well as DBT, can be beneficial. Additionally, a solid grasp of SQL and scripting languages like R and Python is crucial to effectively design and manage data solutions that meet client needs.

Yes, remote work is a primary option for the Associate Data Engineer role at Hakkoda. We practice a remote-first approach, allowing you to choose where you work from, whether it be from the comfort of your home or our welcoming co-working space in the Lisbon Metropolitan Area. We believe this flexibility fosters productivity and enhances the overall work experience for our team members.

Working as an Associate Data Engineer at Hakkoda comes with a host of benefits designed to support your well-being and professional growth. You will receive comprehensive health insurance, a competitive meal allowance, and an annual bonus opportunity. Additionally, Hakkoda offers 22 days of paid time off, plus two extra days for your birthday and Christmas Eve. You'll also have access to a home office budget and a monthly work-from-home allowance, ensuring you have everything you need to perform your best.

In answering this question, detail a specific project where you worked on data warehousing, emphasizing your role in collecting, storing, and retrieving data. Highlight the tools you used, any challenges you faced, and the solutions you implemented to show your competence in managing data warehouses effectively.

When asked about building ETL/ELT pipelines, describe a systematic approach you take, starting from understanding the data requirements to data extraction, transformation, and loading. Provide an example of a pipeline you’ve built, the tools you used, and how you ensured data quality and reliability throughout the process.

Discuss your familiarity with programming languages like SQL, Python, and R while providing specific examples of how you've used each for data analysis. Highlight projects where these skills significantly contributed to your team’s understanding of the data, thus adding value.

Share a detailed story of a time when you analyzed data and identified a significant trend. Discuss the data points you considered, the methodologies used, and how your findings influenced business decisions. This showcases your analytical skills and the practical impact of your work.

In your response, highlight your experiences collaborating with others on data-related projects. Discuss communication techniques you used, how you resolved conflicts, and how team collaboration affected the outcome of the project, providing evidence of your teamwork and soft skills.

Be honest about your experience with these tools. If you have direct experience, be specific about what you accomplished. If you haven't used them, express your eagerness to learn and the research you've done that demonstrates your proactive approach to mastering new tools.

Describe the methods you use to keep informed about data engineering trends, such as following industry blogs, attending webinars, or participating in workshops. Highlight how you’ve applied this knowledge to improve your skills or projects in the past.

When discussing challenges, be honest about the difficulties you’ve encountered, such as data integration or data quality issues. More importantly, emphasize the strategies you developed to overcome these challenges and what you learned from them.

When faced with this question, provide a specific example or scenario where you've successfully communicated technical information to a non-technical person. Emphasize your ability to simplify complex ideas and use relatable analogies to bridge gaps in understanding.

In responding to this question, express what excites you about Hakkoda’s mission and values. Share your passion for data engineering and your desire to grow in an innovative environment. Relate it back to how you feel your skills and passions align with Hakkoda’s objectives, highlighting your eagerness to contribute.