Data Engineering Team Lead

Kinsei Talent; Portugal; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work environment

Conference budget

Learning budget

Team trips

Descripción de la vacante

Kinsei Talent is seeking a Data Engineering Manager to lead the data team and partner with product, business, and marketing to drive data-driven decisions. You will architect scalable data pipelines, work with engineers to build robust infrastructure, and push insights across the organization.

You will collaborate with stakeholders, grow the data team, and explore new data sources and analytics tools, including Ethereum data sources, to deliver measurable impact and strategic guidance.

Formación

• 5+ years of relevant experience in a leadership role at a fast-growing startup/scale-up.
• Strong belief in data-driven decision-making and obsession with numbers.
• Proficiency with Python, Rust, JavaScript or similar languages.
• Strong SQL, GraphQL and Pandas skills for querying and analysis.
• Experience with statistical and data mining techniques.
• Experience analyzing data from 3rd party providers.
• Experience with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark).
• Experience visualizing data for stakeholders and communicating insights across teams.
• Experience building data architectures and collaborating with product/marketing teams.

Responsabilidades

• Identify opportunities to leverage data to inform product and business decisions and marketing content.
• Grow and prioritize the data team’s initiatives for maximum impact.
• Architect and build data engineering infrastructure for long-term sustainability.
• Propose new data types and sources for deeper insights.
• Observe and present trends and insights to the wider team.
• Ensure easy access to relevant data trends for all team members.
• Engage with the Ethereum community and stay updated on analytical tools for data extraction.
• Assess new data sources and gathering techniques for effectiveness and accuracy.

Conocimientos

Leadership experience

Data-driven

Python

SQL

GraphQL

Pandas

Data visualization

Communication

Data architecture

Spark

Hadoop

Dune Analytics

Herramientas

Dune Analytics

Spark

Hadoop

Hive

Descripción del empleo

About the role

Our client is looking for a Data Engineering Manager, supporting the data team and helping the product, business and marketing teams make better, data driven decisions. You will manage the data team and work with engineers and product specialists across the company to help us compile, analyze and visualize relevant data about our product and relevant market trends.

What you'll do

• Work with stakeholders throughout the organization to identify opportunities for leveraging data to inform product and business decisions and marketing content.
• Help the data team to grow, plan and prioritize their initiatives for maximum impact across the company.
• Together with experienced engineers on the team, architect and build our data engineering infrastructure for long term sustainability and success.
• Proactively suggest new types of data that provide relevant insights to the product/business/marketing team.
• Proactively observe and present trends and new insights to the wider team.
• Ensure easy access to relevant data trends for all team members.
• Connect with the Ethereum community, follow trends and stay up to date about new analytical tools that help extract relevant data from Ethereum.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Who you are

• You have 5+ years of relevant experience at a rapidly growing start-up or scale-up, partly in a leadership role
• You are obsessed with numbers and a strong believer in data driven decision-making
• Familiarity with the following software/tools: Coding knowledge and experience with several languages: Python, Rust, JavaScript, etc.
• Proficiency in querying databases and using statistical computer languages (SQL, GraphQL, Pandas etc.)
• Knowledge and experience in statistical and data mining techniques.
• Experience analyzing data from 3rd party providers
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Dune Analytics etc.
• Experience visualizing/presenting data for stakeholders
• Excellent communication skills for coordinating across teams.
• Experience working with and creating data architectures.
• A drive to learn and master new technologies and techniques.
• Strong problem-solving and analytical skills with an emphasis on product development.
• Self-motivated and proactive team player, yet also able to multitask and work independently.

What we can offer you

• Flexible work environment: join one of our hubs in Berlin or Lisbon or work remotely with the option of joining a local coworking space
• Competitive compensation and a stake in the success of the project
• Regular trips to reunite with the rest of the team
• Conference budget to keep up to date with the developments of the ecosystem
• Learning budget to support your higher ambitions
• Impact: you are joining a startup, you can make a huge difference. Your work matters! But most importantly - grow with us! We're growing rapidly, the industry is expanding fast, and we have a lot to do. If you're someone who loves taking initiative and getting things done, there are a lot of opportunities for you. We're enthusiastic about our shared mission and enjoy spending time together!