Konsulter

Code Labs AB

✅ Data Engineer (AI/ML Focus)We are seeking a Data Engineer with a solid foundation in AI/ML and a minimum of 3 years of professional experience. In this role, you will collaborate with cross-functional teams to build and maintain scalable data pipelines, ensuring high-quality data is available for decision-making across the organization.Key ResponsibilitiesData Governance &amp; MDM: Implement and maintain robust data governance practices, including master data management.Modern Data Architectures: Work with Snowflake, dbt, and Power BI (or similar platforms) to design and optimize modern data pipelines.Automation &amp; Scripting: Develop and maintain scripts (Python, SQL, etc.) to automate data governance processes.Metadata &amp; Cataloging: Oversee data lineage, metadata management, and cataloging tools to ensure data integrity and accessibility.Collaboration &amp; Communication: Partner with both technical and non-technical stakeholders to communicate complex data concepts clearly and effectively.QualificationsProfessional Experience: At least 3 years of proven experience as a Data Engineer.Technical Expertise: Hands-on proficiency in Snowflake, dbt, Power BI (or similar), and strong coding skills in Python and SQL.Analytical Mindset: Demonstrated critical-thinking ability, with a keen eye for detail and problem-solving.Team Player: Comfortable working in a fast-paced, collaborative environment to support data-driven initiatives.Excellent Communication: Capable of simplifying and explaining intricate technical topics to diverse audiences.What We OfferThe opportunity to work with exciting customers and tackle interesting problems across various industries.A dynamic, supportive environment that values innovation and professional growth.🔬 Data ScientistWe are looking for a Data Scientist with a passion for experimentation, statistical modeling, and turning data into actionable insights. This role is ideal for someone who thrives on solving complex problems with data and has experience working in cross-functional teams.Key ResponsibilitiesModel Development: Design and implement predictive models and machine learning algorithms to solve real-world business problems.Experimentation: Set up and analyze A/B tests, causal inference models, and statistical evaluations.Data Storytelling: Translate findings into clear visualizations and narratives that drive business decisions.Data Preparation: Work with large datasets using Python, SQL, and tools like Pandas, Scikit-learn, or TensorFlow.Cross-Functional Collaboration: Work closely with engineers, product teams, and business stakeholders to deliver insights and models.QualificationsExperience: At least 3 years of hands-on experience in data science or advanced analytics.Strong Math/Stats Skills: Solid foundation in statistics, probability, and linear algebra.Tooling: Proficiency in Python (incl. libraries such as NumPy, SciPy, Scikit-learn) and SQL.Machine Learning: Experience in supervised and unsupervised learning, including model evaluation and tuning.Communication: Ability to present complex analysis in a clear, compelling way to stakeholders.What We OfferA chance to work on meaningful problems with real business impact.A learning-focused culture with access to the latest tools and methods in data science.📊 Data Analyst / Analytics EngineerWe are looking for a Data Analyst or Analytics Engineer with a strong grasp of SQL and data modeling who can turn data into clear insights that support decision-making. This hybrid role suits someone who enjoys both exploring data and ensuring it’s well-structured and accessible.Key ResponsibilitiesBusiness Analysis: Translate business questions into analytical approaches and deliver actionable insights.Dashboarding &amp; Reporting: Design dashboards and reports using Power BI, Tableau, or Looker.Data Modeling: Build and maintain semantic models using dbt or similar tools.SQL Development: Write efficient SQL queries for analysis and data transformation.Stakeholder Collaboration: Work closely with teams across the organization to identify data needs and communicate findings.QualificationsExperience: At least 2–3 years of experience in data analysis, BI, or analytics engineering.Tools: Hands-on experience with SQL, dbt, Power BI/Tableau, and Excel.Communication: Strong data storytelling and presentation skills.Structured Thinking: Comfortable structuring ambiguous problems and working independently.Optional but Valued: Exposure to Python for analysis and automation.What We OfferA versatile role where you’ll have direct impact on business decisions.Opportunities to grow into either technical (engineering) or strategic (product/BI) paths.

Data engineer

Stockholm

Data engineering

Hadoop

Power BI

Kafka

Python

PyTorch

Spark

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