DataOps Manager
Vitoria, Brazil or Remote, Brazil
Trustly
Trustly, as a simple and fast online banking payments solution, enables consumers and merchants to carry out in and out payments using their bank account.Our digital account-to-account platform redefines the speed, simplicity, and security of payments. Consumers pay for purchases by simply signing into their bank accounts, bypassing the card networks, and never leaving a merchant’s site or app – no credit card numbers or separate account setup necessary. With offices in Vitoria, Brazil, Silicon Valley in the US, and global headquarters in Stockholm, Sweden, we are a culturally diverse team. Across Brazil, we have embraced remote work from home policy.
At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.
It’s a great time to join Trustly as the Americas team is growing fast. If you thrive in an entrepreneurially-minded, fast-paced, casual, professional, positive, and rewarding work environment, check us out!
About the teamTrustly's DataOps team is responsible for delivering the data generated by the application to interested areas, as well as data from APIs and other tools. All this thought in a safe, structured, scalable and generic way, because we work with multiple environments (in different regions) and we need to maintain consistency. We work with both the batch layer (using Airflow) and the streaming layer (Kafka). We help areas in process automation to deliver data more quickly and reliably. We are also concerned with the quality of the data (Data Quality), creating an observability layer for the data to act in a preventive and immediate way to the inconsistencies and failures of our processes. We also work on the delivery of products and services to facilitate the use and consultation of our data, such as maintaining tools such as Presto and Tableau. Last but not least, we interacted with the Data Science area to provide the necessary support and infrastructure for the production of models. To achieve our goals, we follow good code and development practices, apply end-to-end encryption in all our processes, use infrastructure as code, etc.
As the DataOps Manager, you will be a key contributor to our company's success, responsible for ensuring the reliability, security, and performance of our data systems. If you are a self-motivated, detail-oriented, and experienced DataOps professional with a passion for data-driven solutions, we encourage you to apply for this exciting opportunity.
What you'll do:
- Lead and manage the DataOps team, providing technical guidance, mentorship, and performance management to ensure high-quality work and successful project delivery.
- Analyze business requirements and propose appropriate technologies to address business needs, ensuring the scalability, performance, and security of our data systems.
- Act as a focal point for technical questions from the DataOps team, resolving issues and providing guidance on technical challenges.
- Interact with customer teams to understand their data-related needs and provide solutions that meet their requirements.
- Collaborate with other teams, such as software engineering, product management, and business development, to ensure seamless integration of our data systems with other business functions.
Who you are:
- MBA or Master's Degree in Computer Science or related areas.
- Proven experience leading Data Engineering teams in a fast-paced, agile environment.
- Hands-on experience with building, maintaining, and managing Data Lakes and/or Data Warehouses.
- Expertise in building data pipelines (extraction, integration, processing, and storage of large volumes of data).
- Experience with AWS, Spark, and Python development.
- Experience with relational databases (PostgreSQL, MySQL, SQL Server, etc.).
- Experience with Apache Airflow and Big Data solutions (Kafka, Hadoop, etc.)
- Experience with Redshift, DBT, Quicksight
- Experience in Big Data or Machine Learning projects.
- Good planning, organization, and communication skills.
- Advanced proficiency in English.
Our perks and benefits:
- Bradesco health and dental plan, for you and your dependents, with no co-payment cos
- Sulamérica life insurance with differentiated coverage
- Meal voucher and supermarket voucher
- Home Office Allowance
- Gympass - Platform that gives access to spaces for physical activities and online classes
- Trustly Club - Discount at educational institutions and partner stores
- Monthly happy hours with iFood coupon
- English Program - Here you have space to develop your English, and you can choose an Online Platform or English Classes in company
- Extended maternity and paternity leave
- Birthday off
- Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil
- Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!
- Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs.
- Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!
#LI-Remote#LI-CHERRYNE-TRUSTLY
At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.
Want to make a difference in a fast-growing business? Apply now!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs AWS Banking Big Data Computer Science DataOps Data pipelines Data quality Engineering Hadoop Kafka KPIs Machine Learning MySQL Pipelines PostgreSQL Python QuickSight RDBMS Redshift Security Spark SQL Streaming Tableau
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Gear Health care Home office stipend Insurance Parental leave Salary bonus Signing bonus Team events
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