
Qube Research & Technologies · London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a ...
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset
classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining
data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex
challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your present skillset
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and
respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to
enable employees achieve a healthy work-life balance.
About Deerdata Deerdata AB is a Stockholm-based data & AI consultancy. We design and build modern data platforms, analytics solutions, and AI capabilities for clients across automotive, telecommunications, retail, and business process outsourcing industries. We're a tight team with short decision paths and a collaborative engineering culture. The role We're hiring a Senior Data Engineer to build and maintain data pipelines and platform infrastructure for our clients. You'll work with modern tooling, lead technical delivery, and help shape our data engineering practice. What you'll do: Design and develop data pipelines. Build and maintain dbt transformation models. Work with Azure or similar data services. Manage infrastructure with Infrastructure as Code (Terraform, Bicep, or equivalent). Implement data quality, monitoring, and CI/CD for data workflows Collaborate with analysts, architects, and client stakeholders Apply AI/ML and GenAI techniques to data platforms — from automation and intelligent pipelines to LLM-powered tooling and agentic workflows Mentor junior engineers and contribute to technical direction What we're looking for: 5–10 years of data engineering experience Consulting experience — comfortable in client-facing roles, delivering on engagements Deep expertise in Azure cloud data services or similar (AWS, GCP). Strong proficiency with Databricks and Apache Spark or similar (Snowflake, BigQuery, Redshift etc). Advanced SQL and Python skills Experience with Scala for Spark development Proficiency in dbt (or equivalent transformation frameworks) Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar) Solid understanding of data modelling and warehouse design Experience with cloud platforms (AWS, GCP) — multi-cloud familiarity valued Interest and experience in AI/ML and GenAI — LLMs, intelligent automation, agentic workflows, or MLOps Fluent English (Swedish a plus) What we offer: Start: August/September, 2026 (or by agreement) Type: Full-time, permanent (tillsvidare) Location: Solna, Stockholm
Bygg och utveckla en modern dataplattform med fokus på kvalitet, skalbarhet och pålitliga integrationer i en snabb och teknikdriven miljö. Här får du ta ett helhetsgrepp om en dataplattform som är central för verksamhetens utveckling. Rollen passar dig som vill arbeta nära produkt och teknik med fokus på robusta flöden, hög datakvalitet och skalbara lösningar. Om rollen Du ansvarar för att vidareutveckla plattformens datagrund. Du arbetar nära backend och molninfrastruktur. Du bidrar till lösningar som är stabila, spårbara och skalbara. Det här kommer du göra Utveckla och förvalta datamodeller för flera marknader och integrationer. Bygga och förbättra ingestflöden med validering, transformation och retry-hantering. Arbeta med externa datakällor och integrationer. Förbättra datakvalitet, observability och spårbarhet. Bidra till backend, databaser, jobbflöden och övervakning. Vi söker dig som har Senior bakgrund inom data engineering, backend eller plattformsutveckling. Stark kompetens inom SQL, datamodellering och datapipelines. Erfarenhet av API:er och molnmiljöer, gärna AWS. Vana att arbeta i tekniskt komplexa miljöer med många beroenden. Relevant högskoleutbildning eller motsvarande erfarenhet. Teknik & Verktyg SQL AWS Snowflake PostgreSQL Node.js / TypeScript Python API:er CI/CD Praktisk information Ort: Stockholm Arbetssätt: Huvudsakligen på plats Språk: Engelska och svenska
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: * Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Facilitate a company-wide, data-driven culture * Work in close collaboration with data scientists and data analysts to help support their work going into production * Work on large-scale projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * Experience working with an orchestration tool (e.g., Airflow) * Experience working with large data sets * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of software engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: * Experience working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.