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Data Engineering Freelancers in Copenhagen

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Hire Data Engineering Freelancers in Copenhagen and Experts

Find & Hire Data Engineering in Copenhagen who are professionals offering their expertise in various Freelance Data Engineering Services to businesses near Copenhagen and around the world. Copenhagen is home to a large pool of talented and experienced Data Engineering freelancers who can help businesses with professional Data Engineering services in Copenhagen. Freelance Data Engineering services in Copenhagen are quite affordable on our platform compared to hiring full-time employees.

Truelancer.com provides all types of Freelance Data Engineering with a range of skilled and talented freelancers in Copenhagen. We offer the opportunity to save 50% of your business cost by hiring Copenhagen Data Engineering freelancers.

Expert Data Engineering freelancers for hire in Copenhagen are skilled in using the latest Data Engineering tools and techniques to deliver effective results for their clients for anytype of Data Engineering jobs in Copenhagen . With the help of Data Engineering freelancers in Copenhagen, businesses can get their work done quickly. Using Truelancer.com is 100% safe as the money is released to the freelancers after you are 100% satisfied with the work.

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Rebecca Namuwaya-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

Efficient Article writer and Virtual Assistant

Hello, this is Rebecca. It will be my great pleasure to work on your project. I am an expert in this field for 2 years and have the skills you need for your com...

$ 8/hr

Oindrilla Chakravarty-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

Data and Insights Analyst

I am an experienced Data Analyst having worked in various industries. I live in Copenhagen currently but I am ready to move in case of interesting opportunities...

$ 80/hr

Gregers Kjerulf Dubrow-Freelancer in Copenhagen,Denmark

Skilled Data Professional

Multi skilled data professional * Hourly rate depends on project open to negotiation. * Data analyst/data scientist with significant experience in all aspec...

$ 50/hr

Ebrahim Abbasi-Freelancer in Copenhagen,Denmark

Data Consultant

Data analyst and Medical Informatics Researcher, with 5 years’ experience in economy department, Det Nære Sundhedsvæsen DNS, Region Sjælland. My interest area i...

$ 40/hr

Calvin Thomsen-Freelancer in Copenhagen,Denmark

Senior Software Engineer

Skilled full stack developer with a strong record in delivering quality software solutions, proficient in both front end and back end development to create resp...

$ 30/hr

Jamie Talon-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

MA

I hold a Masters Degree in English and have a background in welding and fabrication. I am bilingual in English and Danish and have 8+ years of experience as a t...

$ 18/hr

Bohdan-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

Full Stack Developer

Im looking for a collaborative, team focused culture in my next job, opportunities to learn and grow my skills from a technical standpoint, and a chance to lea...

$ 30/hr

Mads Vendelbo-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

Organic Growth Partne

Supporting startups & scaleups as a digital marketing consultant, building online brands through SEO, CRO & creative low cost strategies. Creating plug n play m...

$ 100/hr

Diya Jivani-Freelancer in Ballerup,Denmark

India Ballerup, Denmark

Freelance Language Translator

I am an Indian content writer and professional translator with strong language proficiency and cross cultural experience. I completed my higher education in Den...

$ 10/hr

Aurore Minier-Freelancer in Copenhagen,Denmark

India Copenhagen, Denmark

Flight attendant

I am currently a flight attendant working in Denmark. I have studied languages English, Spanish and Korean for 3 years at University.

$ 10/hr

Hiring Information for Data Engineering Experts

When hiring Data Engineering professionals, prioritize candidates with strong expertise in ETL development, cloud data platforms, and big data technologies. Look for portfolios showcasing scalable data pipelines, real-time streaming projects, and data warehousing implementations. Proficiency in tools like Apache Spark, Kafka, and cloud services (AWS, Azure, GCP) is essential. Clear project scoping and onboarding are critical to align expectations and ensure measurable outcomes such as improved data reliability and processing efficiency. Emphasize data governance and integration skills to support robust analytics and machine learning initiatives.

Hourly Rates of Data Engineering Experts

Data Engineering freelance rates vary significantly by region due to demand and expertise availability. In North America, rates typically range from USD 60 to 120 per hour, reflecting high demand for cloud and big data skills. Western Europe follows closely with USD 50 to 100 per hour. Eastern Europe and Latin America offer competitive rates between USD 30 and 60, attracting clients seeking cost-effective solutions. South Asia and Africa provide lower rates, generally USD 20 to 45, suitable for entry to mid-level projects. Oceania rates align with North America, ranging from USD 55 to 110, driven by growing cloud adoption and data infrastructure needs.

Job Opportunities for Data Engineering Experts

Data Engineering offers diverse career opportunities across industries including finance, healthcare, e-commerce, and technology. Professionals can work in-house or as freelancers on remote projects involving cloud data migration, big data processing, and real-time analytics. Mastery of tools like Apache Spark, Snowflake, and Airflow enhances employability and earning potential. The global demand for data engineers continues to rise, driven by digital transformation and AI adoption, making it a lucrative and future-proof career path with opportunities for specialization in cloud and machine learning data pipelines.

Tools & Platforms for Data Engineering Experts

Apache Spark and Kafka dominate the data engineering landscape as essential tools for big data processing and real-time streaming. Cloud platforms like AWS Redshift, Google BigQuery, and Azure Data Factory provide scalable infrastructure for modern data workflows. Emerging challengers such as Snowflake and Databricks offer innovative cloud analytics platforms with strong integration capabilities. Open-source alternatives like Airflow enable flexible workflow orchestration, making the data engineering toolkit diverse and adaptable to various project needs.

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