Senior Data Engineer (DataOps)

Vitoria, Brazil or Remote, Brazil

Applications have closed

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.

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WHO WE AREFounded in 2008, Trustly is the global leader in Open Banking Payments, and the U.S. is Trustly’s fastest-growing market. Today we serve 10,000 merchants, connecting them with over 650 million consumers and 7,600 banks in over 30 countries. In 2021, we processed over $20 billion in transaction volume in our global network.
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 interesting areas, as well as data from APIs and other tools. All this is 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.

What you'll do:

  • Work closely with the data team to build, scale and optimize the Trustly big data environment, including the data lake setup, AWS infrastructure stack, BI data warehouse, and automation/visualization tools.
  • Implement ETL processes and QA checks to ensure data in the data lake is accurate and up to date.
  • Implement data pipelines to automate the timely delivery of customer reporting and dashboards.
  • Partner with DevOps to ensure our environment and tools are compliant with security protocols.
  • Partner with data scientists to productionalize machine learning models.
  • Documentation of data flows, architectural setup, and data model.

Who you are:

  • Successful history of building big data pipelines, architecture, and data sets.
  • Experience with AWS cloud services (EC2, EMR, RDS) and big data tools (Hadoop, Spark, Presto, HBASE).
  • Experience with relational databases (preferably Postgres), strong SQL coding, data modeling, and data warehouses.
  • Experience with automation and workflow management tools (e.g. Airflow).
  • Preferred: Python experience.
  • Advanced 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
  • 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 - We hire a band to do an exclusive show for us!
  • 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
  • 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!
Check out our Brazil Life page on Linkedin for more details about Brazil, our culture and much more.
#LIRemote#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: Airflow APIs Architecture AWS Banking Big Data DataOps Data pipelines Data quality Data warehouse DevOps EC2 ETL Hadoop HBase Kafka KPIs Machine Learning ML models Pipelines PostgreSQL Python RDBMS Security Spark SQL Streaming Tableau

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Health care Home office stipend Insurance Parental leave Salary bonus Signing bonus Team events

Regions: Remote/Anywhere South America
Country: Brazil
Job stats:  43  2  0
Category: Engineering Jobs

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