Scala, Akka, Cats 

Their Scala chapter is divided into teams responsible for various system components, comprising over 30 microservices primarily built using the Lightbend stack. Through ongoing research and development efforts, they continually enhance their toolset to deliver cutting-edge solutions for managing content, data, and performance at scale. Their expertise lies in their people, with everything being done in-house. Trust in their staff is a cornerstone of their corporate culture and success.

Who You Are:

They seek someone capable of not only understanding and continuing their existing work but also bringing a fresh perspective to identify areas for improvement.

• Scala: Proficiency and hands-on experience.
• Event Sourcing & Akka: Building resilient systems.
• ElasticSearch & Kafka: Expertise in data management and querying.
• NoSQL (Cassandra): Strong database modeling and optimization.

Nice to Have:

• GraphQL: Experience in creating and consuming APIs.
• gRPC: Familiarity with this remote procedure call protocol.
• Docker & Kubernetes: Knowledge of containerization and orchestration.
• Play Framework: Comfortable building web applications.

Soft Skills:

• Self-starter: Takes initiative and manages tasks efficiently.
• Team Player: Excels independently but thrives in a collaborative environment.
• Problem Solver: Enjoys challenges and finds creative solutions.
• Continuous Learner: Keeps pace with evolving tech.
• Communication Skills: Clear and effective communication with teammates and other stakeholders.

What is in it for you:

• Hybrid Model or Remote Work.
• Innovative international environment.
• Competitive salary and benefits.
• Flexible working hours.
• Generous vacation days and public holidays.
• Private health insurance.
• Free Online Language Lessons.
• Corporate events and ongoing professional development opportunities.

If you want to be part of an elite Scala team, get in touch for more info. 

Because You Matter. 

Scala, Spark, Kafka, AWS, Druid, Parquet, ElasticSearch, OpenSearch, SQL

This team is dedicated on developing and maintaining cutting-edge technical platforms and infrastructure using modern technologies and methodologies. The company culture values team members, and they take pride in their in-house expertise. With a diverse team representing over a dozen nationalities.

The ideal candidate is keen on exploring new technologies and possesses strong coding skills to build efficient data pipelines. Additionally, familiarity with modern software development practices is essential for maintaining high-quality software. As a member of their team, you will collaborate closely with their data team lead, senior data engineer, and data analyst to provide technical support to various departments and stakeholders. They value self-driven individuals who can work independently while contributing to a collaborative team environment.

What You'll Do:

• Design, implement, and maintain scalable data pipelines for data ingestion, transformation, and loading.
• Develop and maintain APIs for efficient data querying.
• Identify and resolve performance issues.
• Establish data governance and quality standards to ensure data accuracy and consistency.
• Monitor and manage data storage solutions, including data warehouses, data lakes, and databases.
• Stay updated on industry best practices and emerging technologies in data engineering.
• Thrive in a fast-paced environment and communicate effectively in English.

What is in it for you:

• Flexible hybrid or remote work options.
• Opportunity to work with cutting-edge technologies.
• Collaborative and diverse work environment.
• Competitive salary and benefits package.
• Flexible working hours and generous vacation days.
• Private health insurance coverage.
• Access to online language lessons.
• Corporate events and professional development opportunities.

If you are looking for a new challenge click apply to find out more. 

Because You Matter. 

Principal/Staff Software Engineer - Data/Analytics Platform

Stack: Scala, Spark, SQL

Location: Europe, Remote

Salary: €120k

I am working with a company that is leading the way in medical decision-making. This business offers a data platform that uses real data to help healthcare businesses determine the effectiveness and safety of medications, whilst simultaneously reducing the cost of trials. The end result? Safer, Faster and Cheaper healthcare for consumers all around the globe.

The business is expanding their engineering team from the US to Europe, and is investing heavily on building an exceptional team. The team currently consists of 7 people who are true experts on the platform. However, this team is now proving to be a bottleneck, and they need to increase the amount of senior talent on the team right away.

You'll be working heavily with Scala & Spark to develop code for their analytics platform. You'll be heavily involved in Architecture, Technical Discussions and Decision Making. The team is growing fast, so you'll also be expected to mentor less senior engineers and get them up to speed.

What will you do?

• Write Scala code and push development of analytical code, jobs, services and clusters in Spark
• Make sure that automated testing is implemented
• Look at the needs of users, study the systems flow, work processes and data flow to drive your decision-making on software development
• Be involved in strategic discussions about the direction and development of the core platform
• Mentor and lead less senior engineers

What are we looking for?

• The primary trait is a track record of solving difficult problems. We don't need an expert in certain technologies, but a shrewd problem solver
• Experience not just in creating data pipelines, but also in the application of that data. Examples: creating analytics, ML models etc.
• Experience programming in either Scala, Java or Python (or another similar language)
• Knowledge of Apache Spark or similar technologies would be beneficial
• Experience working with large data sets
• Demonstrated knowledge of systems design, algorithms and data structures
• Computer Science Degree

What do you get in return?

• Generous holiday package (25 days)
• Lunch paid for daily
• Investment into your personal and professional development
• Private Health Insurance
• Wellness benefits
• Optional Sabatical after 5 years employment
• Great salaries
• Interesting project, solving critical real-world problems

Interested? Hit apply!

Company

UMATR has partnered with a Fintech who is expanding with a new office in Lisbon, currently around 15 professionals with rapid growth. With a total of 600 employees, they specialize in derivative investment products, focusing on capital protection, yield enhancement, and participation across various product classes. They have a super high engineering standard, and they have a team of over 60 Scala developers who contribute to their innovative and efficient approach. They operate on an ultra-modern and functional tech stack, featuring Scala, http4s, cats, Kafka, and Kubernetes.

The role

As a Scala Developer, you'll embark on an exciting journey with our dynamic and forward-thinking company. You will play a pivotal role in designing, implementing, and maintaining critical business applications and services for their cutting-edge pricing and trading Constructor platform.

As a key member of the team your work not only enjoys high visibility but also holds the potential to make a significant positive impact on our overall business performance.

Technology / Responsibilities

• At least 2+ years of experience with Scala  
• Experience with functional Scala libraries
• Experience with Kafka and Kubernetes
• Need’s to be friendly and collaborative with good soft skills
• Must have a strong interest in the financial Market

Benefits

• Up to €40k - €45k salary + Bonus
• A strong learning environment, ability to upskill and progress
• A collaborative and friendly environment
• Being able to work with a ultra-modern and functional stack

Scala | Java | Python 

Spark | Flink | Kafka

As a leading player in global e-commerce, the company transcends the traditional role of an industry leader by reshaping the dynamics of worldwide shopping and selling. The influential platform serves millions of buyers and sellers spanning over 190 markets, propelling the organization to redefine the future of e-commerce for enthusiasts. Guided by customers as the north star, the company fosters an environment where authenticity flourishes, bold ideas find a home, and individuality is embraced daily. Together, the team embarks on a shared journey to sustain the future of customers, the organization, and the planet.

The Homepage and Personalization engineering team is currently seeking an exceptional Backend Services Engineer and Lead Applied Machine Learning professional to collaborate in reshaping the landscape of the platform. Working alongside a world-class team of engineers, designers, product managers, and analysts, the candidate will contribute to the creation of impactful products on one of the world's most visited and cherished websites.

The tech stack includes a dynamic Machine Learned Recommendation Framework, a Node.js front-end app, and a Scala & Java-based backend. Notably, the team's work on the homepage, featuring key machine learning recommendations such as "Recommended for you" and "Frequently Searched by you," significantly influences the organization's top-line revenue and resonates with customers globally. The projects undertaken have a profound impact on the daily lives of millions.

What You'll Do:

• Build and maintain the home page backend engineering and machine learned recommendation stack
• Be a hand on technical lead, work closely with a skilled team of engineers
• Hire top talent, coach and mentor
• Use best practices to write clean, maintainable code for the project, and create a high performant delightful experience for customers
• Identify and address performance bottlenecks
• Be responsible for major projects and features from design phase to coding and testing
• Work closely with product managers, engineering leaders, scientists and collaborate with partner teams to execute a challenging roadmap

Who You Are:

• Understanding of constructing scalable backend applications.
• Showcase successful implementations of large-scale applications, demonstrating a deep grasp of technology while effectively addressing challenging customer-facing issues.
• Exceptional programming skills in, Java, Scala & Python
• Experience building and consuming horizontally scalable RESTful API’s
• Experience with scrum or other agile software development methodology
• Experience applying machine learning in a user facing environment like personalization, ranking, or recommendations
• Experience with big data technologies like Hadoop, Spark, Flink, and Kafka is a big plus
• Deploy and productionalizing trained models, like XGBoost is a plus
• A constant desire to improve and learn
• Ability to write reusable and maintainable code
• Self-driven and ability to get things done
• Bachelor’s degree and 15+ years (or) a MS in Computer Science and 12+ years of software design and relevant experience

This is a team that likes to move fast and iterate faster as we deliver the future of e-commerce. They have a reputation for being a highly capable, high performing team with incredible talent across the board. 

What is in it for you:

• Maternal & paternal leave
• Paid sabbatical
• Plans to help ensure your financial security 

Interested in hearing more? 

Join a highly skilled team of innovators. Apply big data, artificial intelligence, and machine learning to bring the next generation of financial products and services to global markets.

Build the only fraud and risk management platform that orchestrates data from the entire customer journey, fighting fraud more effectively with configurable risk models in a single, easy-to-use platform.

Our client is a leading provider of cutting-edge software solutions, specializing in fraud risk management. Their innovative SaaS platform helps businesses mitigate fraud risks, protect sensitive data, and maintain trust with their customers.

What You'll Do: 

If working with billions of events, petabytes of data, and optimizing for the last millisecond is something that excites you then read on! We are looking for software engineers who have seen their fair share of messy data sets and have been able to structure them for further fraud detection and prevention; anomaly detection and other AI products.

You will be working on writing frameworks for real-time and batch pipelines to ingest and transform events from 100’s of applications every day. These events will be consumed by both machines and people. The teams ML and Software engineers consume these events to build new and optimize existing models to detect and fight new fraud patterns. You will also help optimize the feature pipelines for fast execution and work with software engineers to build event-driven microservices.

You will get to put cutting-edge tech in production and the freedom to experiment with new frameworks, try new ways to optimize, and resources to build the next big thing in fintech using data!

• Work directly with the Platform Engineering Team to create reusable experimental and production data pipelines and centralize the data store.
• Unbox, deep-dive, understand, tune, and master the frameworks and technologies used day-to-day.
• Adopt problem-solving as a way of life – always go to the root cause.
• Keep the data whole, safe, and flowing with expertise on high-volume data ingest and streaming platforms (like Spark Streaming, Kafka, etc).
• Make the data available for online and offline consumption by machines and humans.
• Maintain and optimize underlying storage systems to perform according to the set SLAs.
• Shape the data by developing efficient structures and schema for the data in storage and transit.
• Explore new technology options for data processing, storage, and share them with the team.
• Develop tools and contribute to open source wherever possible.

Who You Are:

• Degree in Computer Science, Engineering, or a related field
• You understand how microservices work and are familiar with concepts of domain-driven design and data modeling. Large-scale system design experience is a plus.
• You have previously worked on building serious data pipelines ingesting and transforming > 10 ^6 events per minute and terabytes of data per day.  
• You are passionate about producing clean, maintainable, and testable code as part of a real-time data pipeline.
• You can connect different services and processes together even if you have not worked with them before and follow the flow of data through various pipelines to debug data issues.
• You have worked with Spark and Kafka before and have experimented with or heard about Spark Streaming/Kafka Streams/Flink and understand when to use one over the other.
• You have experience implementing offline and online data processing flows and understand how to choose and optimize underlying storage technologies. You have worked or experimented with NoSQL databases such as  Cassandra.
• On a bad day, maintaining and bringing up a cluster doesn’t bother you.
• You may not be a networking expert but you understand issues with ingesting data from applications in multiple data centers across geographies, on-premises, and cloud, and will find a way to solve them.
• Proficient in Java/Scala/Python/Spark.

What is in it for you: 

• For the 5th year in a row, they have been certified as a ‘Great Place to Work’
• An open work environment that fosters collaboration, ownership, creativity, and urgency
• Flexibility with work schedule - with office in the heart of Toronto 
• Enrolment in the Group Health Benefits plan from day 1, no waiting period
• Team building events on and off-site
• Fuel for the day: weekly delivery of groceries, and all types of snacks
• Catered lunches and desserts on a monthly basis
• Daily fun in the office with our competitive games of Ping Pong, Chess, Pool, FIFA, and more games, etc.
• An unlimited amount of freshly made coffee! We’re pretty serious about our coffee beans

Interested in being part of this rocketship?