
SkillHuset Sweden AB · Stockholm
Assignment description Our client is seeking a Lead Data Engineer Strong consultant that can take the role as first Lead Data Engineer within BI/DWH modernizat...
Assignment description
Our client is seeking a Lead Data Engineer
Strong consultant that can take the role as first Lead Data Engineer within BI/DWH modernization project. Must be able to pre-form early in the project and contribute both in discovery/analysis and in the first implementation.
Important that consultant is not only a developer but have strong competence to understand complex data warehouse, analyze dependencies and contribute and form the modernization of the legacy flow.
Most important is the combination of SQL Server/SSIS-legacy, datamodellering and practical modernisation towards Fabric/Databricks/Snowflake/Azure.
Required Experience
Senior Data Engineer
Very strong SQL-competens, especially SQL Server and T-SQL
Documented experience of SSIS och traditional Microsoft DWH-/BI-environments
Experience of analysing ETL-flows, stored procedures, views, tables and dependencies
Experience of modernization or migration from legacy DWH cloud-based data platform
Experience of at least one of: Microsoft Fabric, Azure Synapse, Databricks or Snowflake
Good understanding of Kimball, Data Vault, star schema and data marts
Experience of CI/CD, Git and structured development flows
Used to document technical solutions, data flows, mappings and designer decisions
Ability to work close to Architect, BI Developer, Business experts and other Data Engineers.
Contribute both in analyse/discovery and hands-on implementation
Lead more junior Data Engineers
Dbt, SSAS/SSRS/Power BI, Purview, Unity Catalog, DataHub, experience from retail, supply chain, finance, HR or similar domains
What you’ll do Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. Design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts. Build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization. Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews. Partner closely with Credit Portfolio Management, Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting. Tech stack (what we use) Languages: SQL, PySpark, Python Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD What you’ll bring Proven ownership of mission-critical data products (batch + streaming). Data modeling, schema evolution, data contracts, and strong observability chops. Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search).
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. Now, we are looking for a Data Engineer to join our new Data Catalog team and play a key role in building the data backbone that powers Quartr's financial intelligence. You'll own the systems that keep our data consistent, queryable, and discoverable across an evolving landscape of storage and indexing technologies. WHAT YOU'LL DO * Design, build, and operate production database systems with a focus on reliability, performance, and correctness at scale. * Architect and maintain real-time sync pipelines between primary databases and secondary query stores (e.g., search, vector, graph, analytics). * Own schema versioning and distribution. Packaging, publishing, and evolving database and event schemas across teams. * Evaluate and integrate secondary indexing technologies as the needs of our AI-powered products change. * Collaborate with product, data, and infrastructure teams to ensure data is accurate, consistent, and accessible in near real time. WHO YOU ARE * A deep generalist on the data infrastructure side with genuine expertise in how databases behave under real production conditions. * Self-driven and confident, taking full ownership of your work. * Pragmatic but quality-conscious, knowing when to move fast and when to build for the long term. * Based in Sweden with a valid work permit. REQUIRED SKILLS * Hands-on relational database experience: query optimization, schema design, scaling, and operational concerns. Strong SQL experience is also required. * Proven experience syncing databases in near real time, database-to-database or database-to-query-store (e.g., Typesense, Elasticsearch) * Experience with at least one secondary indexing category: search, vector, graph, or analytics. * Cloud infrastructure experience, preferably AWS. A plus, but not required * Experience with CDC and event streaming technologies such as Kafka or NATS. * Familiarity with data catalog or data platform tooling, e.g., Confluent, Databricks, Redpanda, or similar. * Python or TypeScript proficiency. WHAT WE OFFER * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
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 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 tools like Jenkins and Git * Strong understanding of Software Engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated and have a proven ability to take the initiative to own the problems that come up and solve them It would be great if you also have: * 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.