Hire the Top 2% of
Remote Customer Data Platforms Developers
in Germany

Your trusted source for top remote Customer data platforms developers, engineers, expert programmers, freelancers, and consultants in Germany — Perfect for startups and enterprises.

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119 Remote Customer data platforms developers and experts available to hire:

Customer data platforms consultant - Evrard T.
Evrard T.

Customer data platforms developer in Germany (UTC+2)

I hold a B.Eng. in Mechatronics and Electrical Engineering and a Master of science in Electrical Engineering. I have extensive experience as an Embedded Software/System Testarchitekt in the automotive industry. My IT skills include various operating systems, programming languages, and tools. I am proficient in French, English, and German. Additionally, I have experience as an Electrical Engineering Tutor and have contributed to GitHub projects.

Data-Driven DesignBusiness intelligence platformsPythonTest AutomationRobot FrameworkManual testingDevOpsSeleniumTensorFlowDeep LearningSetupETLRequirements GatheringQlikDashboard DesignCaplKpi reportingAndroidDebuggingAnalysisPresentationsSoftware IntegrationDocumentation ProcessSoftware TestingC++Unit TestingLabVIEWSoftware Development
+21
Selenium, TensorFlow, Deep Learning, Setup, ETL, Requirements Gathering, Qlik, Dashboard Design, Capl, Kpi reporting, Android, Debugging, Analysis, Presentations, Software Integration, Documentation Process, Software Testing, C++, Unit Testing, LabVIEW, Software Development
Customer data platforms consultant - Robin M.
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Robin M.

Vetted Customer data platforms developer in Germany (UTC+1)

I am an experienced DevOps Engineer with expertise in automation, optimization of business processes, and implementation of DevOps processes. I have worked on cloud infrastructure, containerization, and infrastructure as code. Additionally, I have experience as a Data Scientist and Software Engineer, developing machine learning models and automation solutions. I have strong skills in Python, Kubernetes and Docker,

Google Cloud PlatformData SciencePythonDockerKubernetesLinuxAzureTerraformContinuous IntegrationSalesforceCI/CDLightning Web ComponentsGitHub ActionsArgo CDConsultingSQLMachine learningGitLab
+11
Terraform, Continuous Integration, Salesforce, CI/CD, Lightning Web Components, GitHub Actions, Argo CD, Consulting, SQL, Machine learning, GitLab
Customer data platforms programmer - Hassan J.
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Hassan J.

Vetted Customer data platforms developer in Germany (UTC+1)

I am a result oriented team player, that has been working for almost 2 decades across different industries such as, Oil, Telecommunications, Finance, Marketing and most recently the Travel industry.

Startup experienceData analytics • 8 yrsData Presentation • 10 yrsGoogle Cloud Platform • 8 yrsGoogle Data StudioSQLPythonReport BuilderSolution ArchitectureExcelStatistical AnalysisRisk managementGitLinuxGoogle AnalyticsFirebaseGoogle BigQueryGoogle Tag ManagerPower BIGoogle OptimizeAWS
+13
Solution Architecture, Excel, Statistical Analysis, Risk management, Git, Linux, Google Analytics, Firebase, Google BigQuery, Google Tag Manager, Power BI, Google Optimize, AWS
Customer data platforms consultant - Aiden E.
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Aiden E.

Vetted Customer data platforms developer in Germany (UTC+2)

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 Science • 5 yrsGoogle Cloud Platform • 4 yrsData EngineeringPythonMachine learningNLPAWSLarge Language ModelsAPIGoogle BigQueryApache SparkTensorFlowCommunication SkillsScikit-learnPandasElasticsearchPython 3ETLApache KafkaSQLLinuxApache AirflowMLOps
+16
Large Language Models, API, Google BigQuery, Apache Spark, TensorFlow, Communication Skills, Scikit-learn, Pandas, Elasticsearch, Python 3, ETL, Apache Kafka, SQL, Linux, Apache Airflow, MLOps
Customer data platforms expert - Emin E.
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Emin E.

Vetted Customer data platforms 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 • 6 yrsGoogle Cloud Platform • 4 yrsData modeling • 4 yrsData warehouse • 3 yrsData structureData ScienceData analyticsNoSQLDatabaseSQLPythonMLOpsCI/CDGoogle BigQueryGoogle cloud storageTerraformAirflowKubernetesAIDistributed Systems EngineeringApache Airflow
+14
NoSQL, Database, SQL, Python, MLOps, CI/CD, Google BigQuery, Google cloud storage, Terraform, Airflow, Kubernetes, AI, Distributed Systems Engineering, Apache Airflow
Customer data platforms developer - Christian N.
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Christian N.

Vetted Customer data platforms developer in Germany (UTC+2)

I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.

Data Science • 3 yrsGoogle Cloud Platform • 1 yrsMachine learningPythonDeep LearningComputer VisionReinforcement LearningPyTorchDockerNLPGitLinuxBashPowerPointClusteringConsultingForecastingAgileAI LabelingFlutterFlowScikit-learnOpenAI APIsLangchainResearchAnomaly DetectionMachine Learning ResearchSQLRExcelExcel VBA
+23
PyTorch, Docker, NLP, Git, Linux, Bash, PowerPoint, Clustering, Consulting, Forecasting, Agile, AI Labeling, FlutterFlow, Scikit-learn, OpenAI APIs, Langchain, Research, Anomaly Detection, Machine Learning Research, SQL, R, Excel, Excel VBA
Customer data platforms developer - Aymeric N.
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Aymeric N.

Vetted Customer data platforms developer in Germany (UTC+1)

I am a versatile software engineer with extensive experience in audio, backend, and machine learning technologies. Venturing through the endless maze of tech possibilities, recklessly curious, I craft solutions using the right tools for the job.

Startup experienceData analysisCross-Platform DevelopmentPostgreSQLC++RustLinuxBashNode.jsPythonMachine learningGoReal-TimePyTorchONNXSignal ProcessingJUCEDeep LearningTypeScriptAPI IntegrationNestJS
+13
Node.js, Python, Machine learning, Go, Real-Time, PyTorch, ONNX, Signal Processing, JUCE, Deep Learning, TypeScript, API Integration, NestJS
Customer data platforms engineer - Mostafa E.
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Mostafa E.

Vetted Customer data platforms 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.

Google Cloud PlatformGoogle BigQueryPythonSnowflakeSQLAWSGitHubCI/CDApache AirflowDatabaseOracleETL
+5
CI/CD, Apache Airflow, Database, Oracle, ETL
Customer data platforms programmer - Samuel M.
Samuel M.

Customer data platforms developer in Germany (UTC+2)

I have over five years of experience in data analysis, where I’ve worked with large datasets to extract insights that support financial and strategic decision-making. I’m proficient in using BI tools such as Tableau and Power BI, along with statistical tools like Python, R, and Excel for data modeling, forecasting, and visualization. This hands-on experience has fueled my passion for turning data into actionable solutions, and I’m inspired to take on more complex projects that challenge my skills and allow me to grow as a data-driven professional in the finance and economics field.

Data analytics • 5 yrsGoogle Cloud Platform • 6 yrsExcelRStataSQLSPSSPower BIPythonTableauExcel VBAExcel Power QueryExcel MacrosExcel solver
+7
Power BI, Python, Tableau, Excel VBA, Excel Power Query, Excel Macros, Excel solver
Customer data platforms coder - Sofiya P.
Sofiya P.

Customer data platforms developer in Germany (UTC+1)

My goal is to transform numbers into meaningful narratives. My enthusiasm for solving customer problems fuels my commitment to contributing with valuable data insights

Data analytics • 4 yrsGoogle Cloud Platform • 2 yrsBig DataSQLTableauExcelPythonPostgreSQLGitHubGoogle AnalyticsPowerPointGoogle BigQueryA/B testingLookerMySQLFirebaseOptimizelyAirflow
+11
PostgreSQL, GitHub, Google Analytics, PowerPoint, Google BigQuery, A/B testing, Looker, MySQL, Firebase, Optimizely, Airflow

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Why clients hire Customer data platforms developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire Top Remote
Customer data platforms developers
in Germany

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Arc Customer data platforms developers
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Freelance Customer data platforms developers in Germany

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FAQs

Why hire a Customer data platforms 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 Customer data platforms 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 Customer data platforms developers can help keep your website up-to-date.

How do I hire Customer data platforms developers?

To hire a Customer data platforms 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 Customer data platforms developers effectively and efficiently. Hire full-time Customer data platforms 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 Customer data platforms 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 Customer data platforms 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 Customer data platforms developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Customer data platforms developers?

There are two types of platforms you can hire Customer data platforms 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 Customer data platforms 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 Customer data platforms developers, consider niche platforms like Arc that naturally attract and carefully vet their Customer data platforms developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Customer data platforms developers.

Some factors to consider when you hire Customer data platforms 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 Customer data platforms developers for hire.

How do I write a Customer data platforms developer job description?

Writing a good Customer data platforms developer job description is crucial in helping you hire Customer data platforms 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 Customer data platforms 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 Customer data platforms developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Customer data platforms developer?

The top five technical skills Customer data platforms developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Customer data platforms 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 Customer data platforms developers to keep up with evolving technology and requirements.

What kinds of Customer data platforms developers are available for hire through Arc?

You can find a variety of Customer data platforms developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Customer data platforms developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Customer data platforms 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Customer data platforms 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 Customer data platforms developers?

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

Every Customer data platforms 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 Customer data platforms 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 Customer data platforms developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Customer data platforms 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 Customer data platforms 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 Customer data platforms developers, you can rest assured that all remote Customer data platforms 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 Customer data platforms developers on Arc?

Arc pre-screens all of our remote Customer data platforms developers before we present them to you. As such, all the remote Customer data platforms 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 Customer data platforms developer in 72 hours, or find a full-time Customer data platforms 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 Customer data platforms developers.

How much does a freelance Customer data platforms developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Customer data platforms developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Customer data platforms 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 Customer data platforms 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 Customer data platforms developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 Customer data platforms 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 Customer data platforms developers, check out our FAQs page.

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