Data Team Lead
hybridFull TimePorto
Apply for this roleSword Health is looking for a Data Engineering Team Lead that will be responsible for leading a team of data engineers, focusing on developing and implementing data solutions using dbt and SQL. You will participate in sprint planning, roadmap estimations and approvals, and ensure the team delivers high-quality results. The role involves fostering team growth, conducting code reviews, being technically hands-on, and serving as a point of contact for support within the organization.
You will be working inside our Data Team at Sword that is helping our business to become more and more Data centric and you will have a tremendous impact on millions of lives.
What you'll be doing:
- Lead and mentor a team of data engineers, fostering a collaborative and growth-oriented environment.
- Oversee the development and implementation of data solutions using dbt and SQL.
- Participate in sprint planning, roadmap estimations, and approvals to ensure alignment with business objectives.
- Ensure the team delivers high-quality, accurate, and timely data solutions.
- Conduct code reviews to maintain coding standards and best practices.
- Foster knowledge sharing and continuous improvement within the team.
- Collaborate with stakeholders to understand requirements and ensure successful project delivery.
- Remain hands-on with technical tasks and provide guidance and support to team members.
- Drive initiatives to improve processes, tools, and methodologies.
- Serve as a point of contact for support within the organization, addressing queries and issues related to data engineering.
- Engage with various departments to gather requirements and feedback, ensuring that data solutions meet their needs.
- Present technical solutions and updates to senior management and other stakeholders.
- Identify and propose opportunities for leveraging new technologies and methodologies to improve data engineering practices.
- Contribute to the long-term data strategy of the company.
What you need to have:
- 5+ years of experience in Data Engineering / Data Team Lead roles.
- Proven experience in a data engineering leadership role.
- Strong proficiency in dbt and SQL.
- Experience with Apache Airflow and Python.
- Knowledge of Apache Kafka is a plus.
- Excellent leadership and team management skills.
- Experience with sprint planning, roadmap estimations, and agile methodologies.
- Strong focus on quality and delivering excellent results.
- Ability to conduct thorough code reviews and ensure adherence to best practices.
- Excellent communication skills, both technical and non-technical.
- Ability to work collaboratively with stakeholders and team members.
- Hands-on experience with data engineering tasks and a willingness to stay technically involved.
- Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus.
- Experience with project management tools (e.g., JIRA) to track progress and ensure timely delivery of projects.
What we would love to see:
- Bachelor’s degree in Computer Science, Information Technology,, or a related field (or equivalent experience).
- Experience in working with cloud platforms.
- Genuine curiosity that drives you to experiment and try new things.
To ensure you feel good solving a big Human problem, we offer:
- A stimulating, fast-paced environment with lots of room for creativity;
- A bright future at a promising high-tech startup company;
- Career development and growth, with a competitive salary;
- The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
- A flexible environment where you can control your hours (remotely) with unlimited vacation;
- Access to our health and well-being program (digital therapist sessions).
- Remote or Hybrid work policy;
- To get to know more about our Tech Stack, check here.
*Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
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