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196 jobs found.

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🔥 Data Lead

Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital

🏢 Company: Bhblasted

🔧 Requirements

Degree in Computer Science, Statistics, Engineering, or a related field.
At least 5-7 years of experience in data management and analysis, with at least 2-3 years in a leadership role.
In-depth knowledge of programming languages for data analysis (e.g., Python, R, SQL).
Familiarity with BI tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
Experience in creating predictive models and applying machine learning techniques.
Leadership skills, team management capabilities, and experience handling complex projects.
Excellent communication and collaboration skills.
Strong results orientation and problem-solving abilities.

💡 Responsibilities

Define and implement the company's strategy for data management and analysis.
Coordinate and supervise a team of data analysts and specialists to ensure the quality and integrity of company data.
Collaborate with key business stakeholders to understand business needs and translate them into data projects and solutions.
Monitor the performance of data management processes and identify opportunities for improvement.
Develop and maintain a reporting system and dashboards to enable data visualization and interpretation.
Ensure compliance with data protection regulations and company policies.
Research and implement new technologies and tools for data management.
Provide support in the creation and implementation of machine learning models or artificial intelligence projects for business applications.
Promote a data-driven culture within the organization.

Leadership Python SQL Apache Airflow Artificial Intelligence Data Analysis ETL Hadoop Machine Learning Tableau Spark Reporting Data visualization Team management Data modeling Data management

Posted about 1 hour ago

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🔥 Engineering Manager, Data and ML - (Remote - Canada)

Posted about 17 hours ago

📍 Canada

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

4+ years of experience as a professional developer
2+ years of experience as an engineering team manager.
Strong expertise in Python and programming fundamentals.
Experience working with data solutions incorporating both online and batch ML inference.
Expertise in data engineering and machine learning design patterns and best practices.
Experience deploying machine learning models into distributed, data-intensive production systems.
Strong communication and collaboration skills to work effectively across teams.
Experience working in a Cloud-native environment (Azure, GCP, or AWS).

💡 Responsibilities

Lead and manage a team of engineers in the design, development, and deployment of data and machine learning solutions.
Oversee the full software development lifecycle, including discovery, design, implementation, and deployment of cutting-edge systems.
Foster a high-performance culture within the team, providing mentorship and guidance to ensure continuous skill development.
Ensure the successful delivery of business objectives, with an emphasis on delivering solutions that meet the needs of scientific researchers.
Collaborate cross-functionally with teams to ensure smooth integration of data solutions and machine learning models.
Navigate ambiguity and adapt to change, taking both hands-on and strategic leadership roles as needed.

AWS Backend Development Docker Leadership Python SQL Apache Airflow Cloud Computing Machine Learning Algorithms Apache Kafka Data engineering Data science REST API Communication Skills Collaboration CI/CD Agile methodologies Mentoring Team management Data modeling Data analytics

Posted about 17 hours ago

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🔥 Senior Data Pipeline Engineer (ETL)

Posted 1 day ago

📍 Armenia

🏢 Company: Globaldev Group👥 251-500💰 Seed about 4 years agoDevOps Information Technology Software

🔧 Requirements

5+ years of experience as Data Engineer
Strong SQL/NoSQL skills.
Experience with data pipeline tools and technologies.
Knowledge of data warehousing concepts.

💡 Responsibilities

Manage data infrastructure and pipelines.
Designing and maintaining data pipelines.
Data extraction, transformation, and loading (ETL).
Database management (SQL/NoSQL).
Ensure data integrity.

SQL Apache Airflow ETL Data engineering Nosql

Posted 1 day ago

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🔥 Senior Data Engineer | Data Delivery

Posted 2 days ago

📍 Germany, Italy, Netherlands, Portugal, Romania, Spain, UK

🧭 Full-Time

🔍 Wellness

🔧 Requirements

You have a proven track record of designing and building robust, scalable, and maintainable data models and corresponding pipelines from business requirements.
You are skilled at engaging with engineering and product teams to elicit requirements.
You are comfortable with big data concepts, ensuring data is efficiently ingested, processed, and made available for data scientists, business analysts, and product teams.
You are experienced in maintaining data consistency across the entire data ecosystem.
You have experience maintaining and debugging data pipelines in production environments with high criticality, ensuring reliability and performance.

💡 Responsibilities

Develop and maintain efficient and scalable data models and structures to support analytical workloads.
Design, develop, and maintain data pipelines that transform and process large volumes of data while embedding business context and semantics.
Implement automated data quality checks to ensure consistency, accuracy, and reliability of data.
Ensure correct adoption and usage of Wellhub’s data by data practitioners across the company
Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

SQL Apache Airflow Kubernetes Apache Kafka Data engineering Spark Data modeling

Posted 2 days ago

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🔥 Senior Data Engineer | Data Delivery

Posted 2 days ago

📍 Portugal

🧭 Full-Time

🏢 Company: Wellhub

🔧 Requirements

Proven track record of designing and building robust, scalable, and maintainable data models and corresponding pipelines from business requirements.
Skilled at engaging with engineering and product teams to elicit requirements.
Comfortable with big data concepts, ensuring data is efficiently ingested, processed, and made available for data scientists, business analysts, and product teams.
Experienced in maintaining data consistency across the entire data ecosystem.
Experience maintaining and debugging data pipelines in production environments with high criticality, ensuring reliability and performance.
Motivated to contribute to a data-driven culture and take pride in seeing the impact of your work across the company

💡 Responsibilities

Develop and maintain efficient and scalable data models and structures to support analytical workloads.
Design, develop, and maintain data pipelines that transform and process large volumes of data while embedding business context and semantics.
Implement automated data quality checks to ensure consistency, accuracy, and reliability of data.
Ensure correct adoption and usage of Wellhub’s data by data practitioners across the company
Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

SQL Apache Airflow ETL Kubernetes Apache Kafka Data engineering Spark Data visualization Data modeling Data analytics Data management

Posted 2 days ago

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🔥 Senior Machine Learning Engineer - User Voice

Posted 3 days ago

📍 Australia

🧭 Full-Time

🔍 Software Development

🔧 Requirements

More than 5 years of Industry experience in the machine learning/software engineering role with a Product/SaaS company.
Experience with industry-level high scale Natural Language Systems.
Experience building and deploying machine learning models, including a strong understanding of end-to-end machine learning pipelines and components.
Strong coding proficiency in Python (note that interviews will be in Python).
Familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Langchain and Huggingface.
Worked with RAG architectures and/or have a good understanding of its application.
Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
Ideally previously worked in Customer Support and/or Business Process automation role.
Excellent collaboration and communication skills. You enjoy pairing with and mentoring other engineers.
Proven ability to set medium to long-term vision for the team in the AI space.

💡 Responsibilities

Partner with our leadership on developing an AI/ML strategy and roadmap to improve the customer support experience.
Be accountable for the delivery of the primary identified opportunities in UV, partnering with product and engineering teams.
Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product.
Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on cross-organisation problems and solutions.

Python SQL Apache Airflow Cloud Computing Design Patterns Machine Learning NLTK PyTorch Algorithms Data engineering Data Structures Tensorflow Communication Skills Collaboration Problem Solving RESTful APIs Mentoring Data modeling Data analytics

Posted 3 days ago

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🔥 Senior Data Engineer

Posted 4 days ago

📍 Worldwide

🔍 Hospitality

🏢 Company: Lighthouse

🔧 Requirements

4+ years of professional experience using Python, Java, or Scala for data processing (Python preferred)
You stay up-to-date with industry trends, emerging technologies, and best practices in data engineering.
Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
Ship large features independently, generate architecture recommendations and have the ability to implement them
Great communication: Regularly achieve consensus amongst teams
Familiarity with GCP, Kubernetes (GKE preferred), CI/CD tools (Gitlab CI preferred), familiarity with the concept of Lambda Architecture.
Experience with Apache Beam or Apache Spark for distributed data processing or event sourcing technologies like Apache Kafka.
Familiarity with monitoring tools like Grafana & Prometheus.

💡 Responsibilities

Design and develop scalable, reliable data pipelines using the Google Cloud stack.
Optimise data pipelines for performance and scalability.
Implement and maintain data governance frameworks, ensuring data accuracy, consistency, and compliance.
Monitor and troubleshoot data pipeline issues, implementing proactive measures for reliability and performance.
Collaborate with the DevOps team to automate deployments and improve developer experience on the data front.
Work with data science and analytics teams to enable them to bring their research to production grade data solutions, using technologies like airflow, dbt or MLflow (but not limited to)
As a part of a platform team, you will communicate effectively with teams across the entire engineering organisation, to provide them with reliable foundational data models and data tools.
Mentor and provide technical guidance to other engineers working with data.

Python SQL Apache Airflow ETL GCP Kubernetes Apache Kafka Data engineering CI/CD Mentoring Terraform Scala Data modeling

Posted 4 days ago

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🔥 Product Analyst

Posted 5 days ago

📍 US

💸 126650.0 - 149000.0 USD per year

🔍 Mental Healthcare

🔧 Requirements

3-5 years of experience using data to solve real-world problems and drive decision-making within engineering, product or growth teams
3+ years of experience at a high-growth technology startup
High proficiency with SQL, and tools for data analysis
Experience developing tests and predictive analytics, synthesizing results, and building frameworks and data models to make data-informed launch decisions

💡 Responsibilities

Become a trusted strategic partner to our product and engineering teams, and work with them to define analytics requirements, identify important questions, design and implement experiments, and help answer critical questions to drive strategy with data
Use data to understand trends in user behavior and product usage to influence strategy, product ideation, and drive experimentation
Collaborate with Data Analysts, Data Engineers, Data Scientists, and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions
Tell compelling stories through data, articulating technical information to a non-technical audience

Python SQL Apache Airflow Data Analysis Tableau Product Analytics Data engineering Data science REST API Communication Skills Analytical Skills Excellent communication skills Data visualization Data modeling Data analytics A/B testing

Posted 5 days ago

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🔥 Machine Learning Engineer - Data Monetization (Multiple Positions & Levels)

Posted 5 days ago

📍 US

🧭 Full-Time

🔍 Software Development

🏢 Company: Yobi👥 11-50💰 $2,370,000 Seed about 2 years agoCRM Electronics Big Data B2B Software

🔧 Requirements

Can think creatively about data
Knows when to use a Data Clean Room
Understanding enough about machine learning to be dangerous
Worked on and can speak to some kinds of impactful consumer-facing ML problem, e.g. recommender systems, personalization, etc.

💡 Responsibilities

Building systems to ingest partner data in a privacy-safe way
Getting the most out of the data to power the rest of our models and products
Collaborating with the Product org
Working with customers directly

Python SQL Apache Airflow Data Analysis Machine Learning Product Management Algorithms Data engineering Spark CI/CD Data modeling

Posted 5 days ago

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🔥 Machine Learning Engineer - Applied / Product (Multiple Positions & Levels)

Posted 5 days ago

📍 United States

🧭 Full-Time

🔍 AdTech

🏢 Company: Yobi👥 11-50💰 $2,370,000 Seed about 2 years agoCRM Electronics Big Data B2B Software

🔧 Requirements

AdTech experience and product intuition for the space
Understanding enough about machine learning
Skill and attitude wise, can quickly contribute to things such as orchestration/Airflow, Bazel (build systems, really), CI/CD, Spark (we have both Python and Scala), and other SQL-y data computation backends as needed.

💡 Responsibilities

Focus on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products
Involve a large degree of 0-to-1 development
Rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products.

Python SQL Apache Airflow Machine Learning Product Management Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala

Posted 5 days ago

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