Modoante
SwedenContractual TemporaryDatabase Designers and Administrators

Data Engineer

Ampstek | Gothenburg, Västra Götaland County, Sweden | Salary not specified

Source: JobsPipe

Required Skills

data-engineeringsqlexceldata analytics

Role snapshot

Work model
Hybrid
Language
Not specified
Experience
Not specified
Posted
Posted 1 day ago
Application deadline
2026-10-30

What you'll do

About Us: AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact. With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results. About the Role: Job Title: Data Analyst/Engineer Location: Gothenburg, Sweden Hybrid Type of Hiring: Employment Contract Description:

  • The ideal candidate should have a strong grasp of business operations, encompassing strategic planning, process improvement, and data-driven decision-making.
  • They must be able to translate complex datasets into clear, actionable insights that accelerate organizational growth. We are looking for at least 6 years of experience in the data area. Advanced Power BI Proficiency: Mastery of Power BI is a core requirement.
  • The consultant should demonstrate expertise in leveraging Power BI’s capabilities to design dynamic reports, interactive dashboards, and advanced data visualizations.
  • Their skills should include data modeling, query optimization, and the seamless integration of diverse data sources.
  • Machine Learning Knowledge: Understanding machine learning techniques and their practical application is highly desirable. Strong SQL Knowledge.

Mandatory skill:

  • Basic Knowledge of Databricks: Familiarity with Databricks is desirable, including a foundational understanding of its collaborative environment for data engineering, machine learning, and analytics.
  • Excel (VBA) programming

Work resources

Helpful work resources for this job

Sign in to read

Application checklist

Review your application before submitting

A quick checklist to help candidates submit a clearer, more complete application.

Read resource