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Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you! Depending on the assignment, the work might involve: • Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse • Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers • Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources • Supporting analytics and BI teams with clean, reliable, well-modeled data What you'll bring: • At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment • Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines) • Strong SQL and programming skills in Python or similar • Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks • An understanding of data quality and governance, and how to build pipelines that scale without silently breaking • A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau Across all assignments: • Comfortable working independently inside a client's existing tech stack and team • Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders • Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
