Data Engineer Consultant with Databricks experience
Stockholm, Sweden · On-site
Mid level
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Skills: Data Engineering, Databricks, Python, Apache Spark, SQL
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Full-time
bachelor degree
Continuous learning, Collaborative environment
Posted 83d ago
~40 hrs/week
Responsibilities
You will build scalable data pipelines and develop cutting-edge AI and agentic solutions within a cross-functional team. The role involves delivering business results to clients by bridging the gap between raw data and actionable insights.
Requirements
Candidates must have 3–5 years of data engineering experience and at least 3 years of hands-on experience with Databricks. A degree in Computer Science, Math, or Physics is required, along with proficiency in Python and Apache Spark.
Full job description
Locations: Stockholm (or Helsinki or Munich)
Start Date: August 2026
The opportunity
Join our Data & Analytics team as a Data Engineer. You won't just move data, you’ll get to build the scalable pipelines that drive our client projects and strategic decisions.
This role is a recruitment for a specific long-term assignment at one of our most forward leaning clients who are working with Databricks as part of their architecture. The goal of our partnership is to drive growth across their commercial operations with the help of AI and automation. We are developing cutting edge AI and agentic use cases and solutions in the client’s enterprise environment in a cross-functional team consisting of business developers, data scientists, analysts, data engineers and marketing and sales channel specialists.
Your toolkit
We are looking for a builder who thrives in a modern cloud-data environment, and has experience working as a consultant delivering business results to clients via data.
The Core: 3–5 years of Data Engineering experience with a degree in CS, Math, or Physics.
Databricks Expert: At least 3 years of hands-on experience orchestrating workloads within Databricks.
The Languages: Proficient in Python and Apache Spark for complex data processing.
Data Design: Proven experience designing and implementing data platforms using Databricks, Apache Spark, SQL and Python.
Visualization: Ability to bridge the gap between raw data and insights through dashboard development.
Communication: Fluency in English is required and depending on office location it is great if you also know the local language to some extent (Swedish, Finnish or German).
Why join us?
Our vision is to become Europe's leading actionable marketing data-asset provider. We believe companies must invest in intelligence/AI, customer experience, and change management to survive. Our mission is to foster customer-centric organizations equipped for future growth, heavily driven by smart data and analytics.
In today's fast-evolving market, companies need strong data capabilities. We utilize cutting-edge cloud technologies and machine learning to build scalable, future-proof data solutions as consultants.
At Avaus, you will find a collaborative environment valuing personal responsibility, freedom, problem-solving, and continuous learning. We seek individuals who take ownership, drive initiatives, and enjoy mutual learning.
Practicalities
Probation: 6-month initial period.
Process: We review applications continuously, so the sooner you apply, the better!
Privacy: To keep your data safe (GDPR), we only accept applications via our career portal.
Related keywords
Data EngineeringDatabricksPythonApache SparkSQLCloud ComputingAIAutomationData PipelinesData AnalyticsConsultingDashboard DevelopmentMachine LearningData ArchitectureMarketing Data
Avaus is your strategic partner, focused on delivering real results in marketing, sales, and customer service.
We offer advisory services and customized solutions to meet your unique business requirements, including:
• Enhancing customer-centricity
• Improving customer acquisition
• Boosting upselling and cross-selling opportunities
• Fostering customer loyalty and preventing churn
• Improving operational efficiency through automation
• Raising the level of personalization
• Effectively utilizing data across various channels
FROM STRATEGY TO EXECUTION
Our approach includes three key elements:
1. Data analytics: Using data to guide decisions and strategies.
2. Artificial Intelligence (AI): Using AI to improve customer interactions and provide predictive insights.
3. Automation: Streamlining processes to enhance efficiency and responsiveness.
Together, these elements help us deliver excellent business performance and sustainable growth for you as our client.
SERVICES
• Digital and Customer Experience (CX) Strategy: Crafting strategies that enhance digital presence and customer engagement.
• Marketing Technology (MarTech): Implementing cutting-edge technology solutions for marketing efficiency and innovation.
• Data, Artificial Intelligence (AI), and Analytics: Leveraging data, AI, and analytical insights to drive decision-making.
• Data-Driven Operations: Streamlining operations with data-centric processes and systems.
We have a long experience across various industries and geographical markets. Check these customer cases to learn more: https://www.avaus.com/our-customers/
Offices: Albertinkatu 25, Helsinki, 00180, FI · Katarinavägen 17, Stockholm, Stockholm County 116 45, SE · Herzogspitalstraße 24, Munich, Bavaria 80331, DE
Business StrategyAnalyticsDigital service developmentMarketing automationSocial MediaCRMMarketoMobile servicesContentAI
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