Match score not available

Data Engineer (Night Shift & Fully Remote)

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years of experience in data engineering, Strong knowledge of SQL-based database systems, Experience with Microsoft data technologies.

Key responsabilities:

  • Design and develop data ETL pipelines on SQL Server
  • Implement data quality checks and validation processes
  • Monitor pipeline performance and troubleshoot issues
  • Collaborate with stakeholders to meet data requirements
  • Develop and maintain documentation for data pipelines
Adaca logo
Adaca Scaleup https://www.adaca.io/
51 - 200 Employees
See more Adaca offers

Job description

Things To Know Before Applying

you must have your own work equipment

you are able to work remotely

you can work full-time for this role

you can work night shift

experience working with clients/companies outside PH is an advantage

Only Candidates Who Meet The Requirements Will Be Contacted

Role: Data Pipeline Engineer

Work Schedule: Night shift (w/ 10% night differential)

Role Summary

We are seeking a Data Pipeline Engineer to design, implement and maintain data processes using technologies such as SQL Server stored procedures, DTS and SSIS. These pipelines ingest large volumes of vehicle catalogue data from a diverse set of sources, and transform them to a normalised schema for access from our Electronic Parts Catalogue (EPC) system.

This role is ideal for a data pipeline engineer skilled in Microsoft technologies, who understands the intersection of data processing and software development. The position offers the opportunity to deepen experience high-volume data processing, and gain exposure to the broader ecosystem of operational data pipelines, software product development and DevOps.

The successful applicant will work within a larger team of engineers and will collaborate closely with stakeholders through our organisation, ensuring the accurate and efficient flow of data.

Key Responsibilities

Design and develop: Create and maintain data ETL pipelines on SQL Server using T-SQL, stored procedures, SSIS, etc.

Collaboration: Work closely with data analysts, engineers, and other stakeholders to understand data requirements and develop solutions.

Data Quality: Implement data quality checks and validation processes to ensure data accuracy and consistency.

Monitoring and Troubleshooting: Monitor data pipeline performance and promptly resolve issues.

Documentation: Develop and maintain documentation for data pipeline processes and workflows.

Continuous Improvement: Work with the broader team to improve technology solutions and ways of working.

Qualifications

Experience: 3+ years of experience in data engineering, with a focus on pipeline development and maintenance.

Technical Skills: 3+ years of experience Microsoft data technologies, ideally including SQL Server, Stored Procedures, SSIS, T-SQL, DTS.

Knowledge: Strong knowledge of SQL-based database systems and data modelling.

Problem Solving: Excellent problem-solving skills and attention to detail.

Communication: Strong communication and collaboration skills.

Industry Knowledge: Familiarity with the automotive industry and vehicle catalogue data is a plus, but not required.

Growth Mindset: a willingness to learn and adapt to new technologies and methodologies, ideally having an influence on solutions and ways of working.

Non-negotiables

 5+ years of work experience with Data Pipelines

 5+ years of work experience with Data Transformation Services (DTS)

 5+ years of work experience with SQL Server Integration Services (SSIS)

Hiring Process

Phone screening

Behavioral interview

Project fit check interview

Client interview

About Adaca

Adaca is at the forefront of bridging software development solutions by connecting Australian mid-tier companies with top-tier talents in the Philippines. Our unique approach is rooted in creating an employee-centric experience that fosters a simple, low-pressure environment for our developers. This philosophy not only enhances productivity but also delivers unparalleled value to our clients, fostering a cycle of growth and talent attraction.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

Data Engineer Related jobs