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Data Engineering developers in Germany - Aiden E.
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Aiden E.

Vetted Data Engineering developer in Germany (UTC+1)

Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.

Data Engineering developers in Germany - Emin E.
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Emin E.

Vetted Data Engineering developer in Germany (UTC+2)

Experienced Data Engineer with a proven track record of creating and optimizing data platforms, pipelines, and warehouses. Proficient in open-source technologies. Adept in designing and implementing data models and architectures, I successfully transformed a data lake into a structured warehouse at eBay Turkey. My expertise spans AI, machine learning, and parallel processing, contributing to the deployment of ML models for actionable insights. Skilled in GCP, Terraform, and CI/CD pipelines. Passionate about data governance, security, and compliance. Fluent in English and Turkish.

Data Engineering developers in Germany - Mostafa E.
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Mostafa E.

Vetted Data Engineering developer in Germany (UTC+2)

I have a bachelor's degree in software engineering and a master's degree in computer science with a focus on machine learning and natural language processing. I've been working as a data engineer since I graduated exclusively from Munich. In my last position, I was fully responsible for the data engineering department, so I built a full data engineering infrastructure setup and also trained in BIN data science on using it. My main stacks are Snowflake, DBT, Airflow, AWS, and Lambda. My programming languages are SQL, Python, and Git.

Data Engineering developers in Germany - Simone R.
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Simone R.

Vetted Data Engineering developer in Germany (UTC+1)

I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory. My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed. I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making. I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.

Data Engineering developers in Germany - Jens M.
Jens M.

Data Engineering developer in Germany (UTC+1)

Agile IT Manager ● Cloud Solution Architect ● Software & DevOps Engineer ● Certified Scrum Master Excellent Leadership Skills ● Vast IT Experience ● Strong Analytical Thinking ● Creative Problem Solving

Data Engineering developers in Germany - David L.
David L.

Data Engineering developer in Germany (UTC+1)

🔯 Data Engineer / Reliability Engineer ⚛️ Scalable Data Products ☸️ MLOps ft. Kubernetes * Full-Stack Machine Learning Engineer capable of realising ML projects end-to-end (MLOps, NLP, Time Series, Deep Learning, Explainable AI). * DevOps and Cloud Engineer capable of designing and implementing fully auto-scaling, cloud-native Data Processing Architectures (Kubernetes, Knative, Helm, IaC, DevOps, GitOps). * Designing and building Python based Data Architectures (distributed, parallel, concurrent) in full remote self-organizing Scrum & Kanban teams for 6 years. * Extensive experience with Open-Source Intelligence, Supply Chain Intelligence, and Scientific & Industrial Big Data. * Team-player, mentor, eager to grow, morally ambitious.

Data Engineering developers in Germany - Juan B.
Juan B.

Data Engineering developer in Germany (UTC+2)

Prioritizing customer care, providing a friendly and professional experience to every project by consistently bringing a reliable, positive and proactive approach as my prime directive.

Data Engineering developers in Germany - Hariprasad K.
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Hariprasad K.

Vetted Data Engineering developer in Germany (UTC+6)

Result-oriented and innovative backend and data engineering with over 10 years of experience.

Data Engineering developers in Germany - Tuncer Ö.
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Tuncer Ö.

Vetted Data Engineering developer in Germany (UTC+2)

I'm a fellow of ML/Data as a product applications. Besides all of the tools, I give much importance to business domain knowledge and data-driven mindset.

Data Engineering developers in Germany - Lautaro D.
Lautaro D.

Data Engineering developer in Germany (UTC-5)

I hold a PhD in Computer Science focusing on data analytics and machine learning. With experience as a Team Lead in Data Engineering, I excel in software engineering, machine learning, cloud computing, and team management. My expertise includes Python, C, SQL, JavaScript, Clojure, LLM forecasting, NLP, anomaly detection, AWS, GCP, Docker, DBT, Spark, and more. I have led the design and development of scalable data processing pipelines, collaborated with cross-functional teams, and provided technical guidance to junior engineers. My work has contributed to a 30% reduction in fraud-related losses through advanced ML algorithms and continuous model improvements.

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FAQs

Why hire a Data Engineering developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Data Engineering developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data Engineering developers can help keep your website up-to-date.

How do I hire Data Engineering developers?

To hire a Data Engineering developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Data Engineering developers effectively and efficiently. Hire full-time Data Engineering developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data Engineering developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data Engineering developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data Engineering developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Engineering developers?

There are two types of platforms you can hire Data Engineering developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data Engineering developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Data Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.

Some factors to consider when you hire Data Engineering developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data Engineering developers for hire.

How do I write a Data Engineering developer job description?

Writing a good Data Engineering developer job description is crucial in helping you hire Data Engineering developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data Engineering developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Data Engineering developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Data Engineering developer?

The top five technical skills Data Engineering developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data Engineering developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data Engineering developers to keep up with evolving technology and requirements.

What kinds of Data Engineering developers are available for hire through Arc?

You can find a variety of Data Engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Data Engineering developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Data Engineering developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Engineering developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data Engineering developers.

Every Data Engineering developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Data Engineering developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Data Engineering developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Engineering developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Data Engineering developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data Engineering developers, you can rest assured that all remote Data Engineering developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Data Engineering developers on Arc?

Arc pre-screens all of our remote Data Engineering developers before we present them to you. As such, all the remote Data Engineering developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Data Engineering developer in 72 hours, or find a full-time Data Engineering developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Data Engineering developers.

How much does a freelance Data Engineering developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Engineering developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Data Engineering developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Data Engineering developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Data Engineering developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Data Engineering developers, check out our FAQs page.

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