Senior Data Engineer

Posted 3 days agoViewed

View full description

💎 Seniority level: Senior, 4+ years

📍 Location: Worldwide

🔍 Industry: Hospitality

🏢 Company: Lighthouse

⏳ Experience: 4+ years

🪄 Skills: PythonSQLApache AirflowETLGCPKubernetesApache KafkaData engineeringCI/CDMentoringTerraformScalaData modeling

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.

Apply

Related Jobs

Apply

🔥 Senior Data Engineer | Data Delivery

Posted about 18 hours 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.

SQLApache AirflowKubernetesApache KafkaData engineeringSparkData modeling

Posted about 18 hours ago

Apply

🔥 Senior Data Engineer | Data Delivery

Posted about 20 hours 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.

SQLApache AirflowETLKubernetesApache KafkaData engineeringSparkData visualizationData modelingData analyticsData management

Posted about 20 hours ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 183600.0 - 216000.0 USD per year

🔍 Software Development

🔧 Requirements

6+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

PythonSQLSnowflakeAirflowData engineeringSparkData visualizationData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Rad AI👥 101-250💰 $60,000,000 Series C 2 months agoArtificial Intelligence (AI)Enterprise Software Health Care

🔧 Requirements

4+ years relevant experience in data engineering.
Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.
Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.
Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.
Experience in large scale data processing technologies such as Spark.
Expertise in orchestrating workflows using tools like Metaflow.
Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
Hands-on experience with containerization technologies, such as Docker and Kubernetes.

💡 Responsibilities

Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark.
Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.
Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.
Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.
Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.
Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.
Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

AWSDockerSQLElasticSearchETLKubernetesData engineeringNosqlSparkData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer - Data Services

Posted 4 days ago

📍 Worldwide

🧭 Full-Time

🔧 Requirements

NOT STATED

💡 Responsibilities

Own the design and implementation of cross-domain data models that support key business metrics and use cases.
Partner with analysts and data engineers to translate business logic into performant, well-documented dbt models.
Champion best practices in testing, documentation, CI/CD, and version control, and guide others in applying them.
Act as a technical mentor to other analytics engineers, supporting their development and reviewing their code.
Collaborate with central data platform and embedded teams to improve data quality, metric consistency, and lineage tracking.
Drive alignment on model architecture across domains—ensuring models are reusable, auditable, and trusted.
Identify and lead initiatives to reduce technical debt and modernise legacy reporting pipelines.
Contribute to the long-term vision of analytics engineering at Pleo and help shape our roadmap for scalability and impact.

SQLData AnalysisETLData engineeringCI/CDMentoringDocumentationData visualizationData modelingData analyticsData management

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 183600.0 - 216000.0 USD per year

🔍 Mental Healthcare

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

6+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)
A knack for simplifying data, expressing information in charts and tables

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

PythonSQLETLSnowflakeAirflowData engineeringRDBMSSparkRESTful APIsData visualizationData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer (Remote from EU)

Posted 4 days ago

📍 Germany, Austria, Italy, Spain, Portugal

🔍 Financial and Real Estate

🏢 Company: PriceHubble👥 101-250💰 Non-equity Assistance over 3 years agoArtificial Intelligence (AI)PropTech Big Data Machine Learning Analytics Real Estate

🔧 Requirements

3+ years of experience building and maintaining production data pipelines.
Excellent English communication skills, both spoken and written, to effectively collaborate with cross-functional teams and mentor other engineers.
Clear writing is key in our remote-first setup.
Proficient in working with geospatial data and leveraging geospatial features.

💡 Responsibilities

Work with backend engineers and data scientists to turn raw data into trusted insights, handling everything from scraping and ingestion to transformation and monitoring.
Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
Develop solutions that work in over 10 countries, considering local specifics.
Lead a project from concept to launch with a temporary team of engineers.
Raise the bar and drive the team to deliver high-quality products, services, and processes.
Improve the performance, data quality, and cost-efficiency of our data pipelines at scale.
Maintain and monitor the data systems your team owns.

AWSDockerLeadershipPostgreSQLPythonSQLApache AirflowCloud ComputingData AnalysisETLGitKubernetesApache KafkaData engineeringData scienceSparkCI/CDProblem SolvingRESTful APIsMentoringLinuxExcellent communication skillsTeamworkCross-functional collaborationData visualizationData modelingData managementEnglish communication

Posted 4 days ago

Apply

🔥 Senior Data Engineer (R&D team)

Posted 4 days ago

📍 Poland, Ukraine, Cyprus

🧭 Full-Time

🔍 Software Development

🏢 Company: Competera👥 51-100💰 $3,000,000 Seed about 1 year agoArtificial Intelligence (AI)Big Data E-Commerce Retail Machine Learning Analytics Retail Technology Information Technology Enterprise Software Software

🔧 Requirements

5+ years of experience in data engineer role.
Strong knowledge of SQL, Spark, Python, Airflow, binary file formats.

💡 Responsibilities

Contribute to the development of the new data platform.
Collaborate with platform and ML teams to create ETL pipelines that efficiently deliver clean and trustworthy data.
Engage in architectural decisions regarding the current and future state of the data platform.
Design and optimize data models based on business and engineering needs.

PythonSQLETLKafkaAirflowSparkData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 6 days ago

📍 Costa Rica, Brazil, Argentina, Chile, Mexico

🔍 Insider Risk Management

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

🔧 Requirements

6+ years of experience in data engineering, with a proven track record of successfully delivering data-driven solutions.
Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks.
Experience with big data technologies and distributed systems, such as Hadoop, Spark, or similar frameworks.
Proficient programming skills in languages such as Python, Java, or Scala, alongside a solid understanding of database management systems (SQL and NoSQL).
Understanding of data requirements for machine learning applications and how to optimize data for model training.
Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.

💡 Responsibilities

Design and implement robust data architecture tailored for AI-driven features, ensuring it meets the evolving needs of our platform.
Build and maintain efficient data pipelines for processing user activity data, ensuring data flows seamlessly throughout our systems.
Develop comprehensive systems for data storage, retrieval, and processing, facilitating quick and reliable access to information.
Ensure high standards of data quality and availability, enabling machine learning models to produce accurate and actionable insights.
Enhance the performance and scalability of our data infrastructure to accommodate growing data demands and user activity.
Work closely with data scientists and machine learning engineers to understand their data requirements and ensure data solutions are tailored to their needs.

PythonSQLApache HadoopETLMachine LearningAzureData engineeringNosqlComplianceScalaData visualizationData modelingData management

Posted 6 days ago

Apply

🔥 Senior Data Engineer (AS)

Posted 10 days ago

📍 United States, Canada

🔍 Software Development

AWSSQLCloud ComputingData AnalysisETLData engineeringData visualizationData modeling

Posted 10 days ago

Apply