Data Engineer

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 500 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 400+ 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 Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform. What you'll do: Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA 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 Work in close collaboration with data scientists and data analysts to help support their work in production Work with vast 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: 3+ years of experience in data engineering Experience working with an orchestration tool (ex, Airflow) Experience working with a large data set Experience building complex ETL pipelines Experience working with cloud providers such as GCP, AWS, or Azure Strong programming skills in Spark with Scala and Python Experience working with CI/CD tool

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. About the Team The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. About the Role As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the

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 500 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 400+ 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 b

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 500 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 400+ 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 on our Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems. That means the feature pipelines, streaming event ingestion, training datasets, and real-time feature serving that power the retrieval, ranking, and contextual-bandit models deciding what hundreds of millions of users see. This is a hands-on platform role at the point where large-scale data engineering meets production machine learning. What you'll do: Build and own the feature and training-data pipelines behind our retrieval, ranking, and contextual-bandit models, taking raw events all the way to model-ready features. Design streaming pipelines that close the loop between serving and learning, capturing impressions, clicks, and conversions in near real time so models retrain on fresh signal. Stand up and maintain a real-time feature store so features stay consistent between offline training and low-latency online inference. Own the ad-event and attribution data backbone: clean, reconciled pipelines for delivery, billing, and third-party attribution partners. Partner directly with dat

(FEQ327R582) The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to Director, Field Engineering. The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. Strategically plan and deliver meaningful projects to increase data literacy at Storytel. Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. Collabor