Negotiable
Undetermined
Remote
United Kingdom
Summary: The Senior Data Engineer role at JobLeap involves building and optimizing data infrastructure for an AI-driven job matching platform. This remote position requires expertise in data engineering, modeling, and analytics to support the company's mission of enhancing job seekers' careers. The ideal candidate will collaborate with cross-functional teams to ensure efficient data processes and contribute to innovative solutions. Fluency in English and strong problem-solving skills are essential for success in this role.
Key Responsibilities:
- Design, develop, and maintain robust data pipelines for processing structured and unstructured data.
- Develop and implement data models for AI-driven job matching algorithms.
- Build and manage ETL processes for data movement into the data warehouse.
- Architect and maintain scalable data warehousing solutions using PostgreSQL or ElasticSearch.
- Collaborate with analytics teams to provide insights into user behavior and platform performance.
- Utilize big data technologies like Hadoop and Spark for data processing and analysis.
- Integrate external data sources through APIs and data scraping technologies.
- Work closely with cross-functional teams to understand data needs and translate them into technical solutions.
- Tackle complex data challenges and implement solutions to optimize performance.
Key Skills:
- Fluency in English with excellent communication skills.
- Proven experience in Data Engineering and Data Modeling.
- Expertise in ETL processes and data pipeline optimization.
- In-depth knowledge of Data Warehousing and Data Analytics technologies.
- Proficiency in programming languages such as Python and SQL.
- Experience with big data technologies like Hadoop and Spark.
- Experience with API integration and data scraping technologies.
- Strong problem-solving and analytical skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
hackajob is collaborating with Jobleap.ai to connect them with exceptional tech professionals for this role.
Job Title: Senior Data Engineer
Job Type: Full-Time
About JobLeap: JobLeap is transforming the job search landscape by harnessing the power of AI to create an intelligent, personalized career copilot for jobseekers. Our platform guides users through every stage of their career journey, from refining their resumes to landing their dream job, and everything in between. We’re on a mission to help 1 million people improve their careers and lives through the use of technology and AI.
Role Overview: We are seeking a highly skilled English Fluent Senior Data Engineer to join our dynamic team on a contract basis. In this remote role, you will be at the forefront of building and optimizing the data infrastructure that powers JobLeap’s AI-driven job matching platform. Your work will be crucial in ensuring that our data processes are efficient, scalable, and capable of supporting our mission to help users achieve their career goals.
Key Responsibilities
- Data Engineering: Design, develop, and maintain robust data pipelines to efficiently process large volumes of structured and unstructured data. Ensure data is clean, reliable, and accessible for downstream applications.
- Data Modeling: Develop and implement data models that support our AI-driven job matching algorithms. Work closely with data scientists and machine learning engineers to ensure data structures meet the analytical needs of the platform.
- ETL Processes: Build and manage ETL (Extract, Transform, Load) processes that move data from various sources into our data warehouse, ensuring that data is transformed correctly and efficiently.
- Data Warehousing: Architect and maintain scalable data warehousing solutions using technologies like PostgreSQL or ElasticSearch. Ensure that our data warehouse is optimized for performance and supports the rapid querying needs of our platform.
- Data Analytics: Collaborate with the analytics team to provide insights into user behavior, platform performance, and other key metrics. Ensure that data is readily available for analytics and reporting purposes.
- Big Data Technologies: Utilize big data technologies such as Hadoop and Spark to process and analyze large datasets. Optimize the performance of these technologies to handle JobLeap’s growing data needs.
- API Integration & Data Scraping: Work with APIs, data feeds, and scraping technologies to integrate external data sources into our platform. Ensure that data from these sources is accurate, timely, and aligns with our data quality standards.
- Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and AI engineers, to understand data needs and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders effectively.
- Problem Solving: Tackle complex data challenges, identifying bottlenecks and inefficiencies in our data processes, and implementing solutions to optimize performance.
Qualifications
- Fluency in English is required, with excellent communication skills to effectively collaborate in a remote, international team environment.
- Proven experience in Data Engineering and Data Modeling, with a strong track record of building scalable data solutions.
- Expertise in ETL processes, with hands-on experience in designing and optimizing data pipelines.
- In-depth knowledge of Data Warehousing and Data Analytics technologies, particularly PostgreSQL or Elasticsearch.
- Proficiency in programming languages such as Python, SQL, and experience with big data technologies like Hadoop and Spark.
- Experience with API integration, data feeds, and scraping technologies.
- Strong problem-solving and analytical skills, with a focus on optimizing data processes and systems.
- Excellent communication and collaboration skills, with the ability to work effectively in a remote, cross-functional team environment.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Why Join JobLeap?
- Impact: Contribute to a mission-driven company that’s making a tangible difference in people’s lives.
- Innovation: Work on cutting-edge AI and data technologies to solve real-world problems in the job search space.
- Flexibility: Enjoy the benefits of remote work, with the freedom to manage your own schedule.
- Collaboration: Be part of a talented team of professionals who are passionate about using technology to empower users.
- Growth: Take on challenging projects that offer opportunities for professional development and growth.