Data Engineer

About KlarLet's start with the basics Klar is a Mexican fintech startup whose mission is to democratize and revolutionize the way in which financial services have been delivered so far in Mexico, especially since half of the population doesn't have a bank account.

We offer a rich set of products across our debit and credit offers and the future is bright for Klar We have an exciting and ambitious roadmap to bring more features to our products so that we can better serve our users.

We have served more than 2 million users since our launch in 2019We are also proud to have been certified in 2023 as a "Great Place to Work" in Mexico - we've worked hard to make that happen and will continue to make bigger strides in the future Sound like a place you'd like to be?

Our peopleIf you join us at Klar, you'll be welcomed to a team which is rich in many talents and we are very proud With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language.

With so many people from different backgrounds and walks of life (young professionals, parents, LGBTQ+, neurodivergence), you'll definitely find your people hereOur valuesOwnership - We own our successes & our failures as a team.Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.Customer Obsession - We understand the value Klar can bring to its customers & it's always at the forefront of our decisions.Klarity - We communicate clearly & with authenticity.

It's in our name & it's what we do.TasksWhat you can expect : Design, build, and maintain scalable and efficient data pipelines, with a particular emphasis on streaming data.

Leverage modern technologies, including tools like Rising Wave, Kafka, Mage ai, Spark, and Redshift, to ensure the seamless processing of data in batch and real-time.Design, build, and maintain streaming and batch data pipelines, incorporating best practices for reliability, scalability, and efficiency.Optimize and maintain the data pipelines and data platform infrastructure.RequirementsWhat we are looking for : Bachelor's degree in an engineering discipline or analytical field (e.g., Computational, Mechatronics, Mathematics, Physics, etc.)Proven experience as a Data Engineer, focusing on building and optimizing data pipelines.Proficient in SQLProficient in PythonProficient in GitCloud Experience (AWS is a bonus)Advanced English levelPassionate about learning new tools and technologies, and can quickly adapt in a fast-paced environment.Desirable : Experience in Terraform for infrastructure as code.Experience working with KubernetesThe ideal candidate should possess hands-on experience with tools related to streaming data and real-time data processing, such as Apache Flink or similar technologies.

This includes designing and implementing solutions that can handle data in real time, ensuring the scalability and efficiency of streaming data pipelines.Bonus : Has worked with DBT, Rising Wave, Kafka, and KubernetesBonus : Knowledge of Amazon Redshift and experience optimizing its performance.Bonus : Prior experience with data orchestration tools.BenefitsOur offer to you : Competitive salary based on performance and experienceChance of earning Klar stock options15 days of paid vacation per year; plus extended maternity and paternity leavesVacation premium30 days of Christmas bonusFood vouchersMedical InsuranceComputer deviceWellhub subscription to offer mental and physical healthSponsored coaching and therapy sessions via Modern HealthA modern centrally located office in Mexico City with free drinks, snacks, and regular social eventsInternational work environment with amazing and highly skilled peopleA world class team that helps you evolve your skills in areas you're interested inKlar is a safe place for everyoneWe trust our highly skilled and diverse team and we're committed to creating a welcoming and inclusive environment for new talents to flourish.

We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion / belief, physical abilities, age, sexual orientation and identity.Should you require any accommodations through the recruitment process, please don't hesitate to let us know how we can help