senior Data EngineerTechBridge Market
Salary: Agreement
Work form: Full time
Posting Date: 13/01/2026
Deadline: 03/08/2022
Job Description:
If you are passionate about playing a key role in the success of the leader in solar innovation, we want to hear from you!
Our client is a well-established brand in the Renewable Energy Semiconductor Manufacturing Industry, they have access to over 1,000 patents and two best-in-class differentiated solar panel product lines and they are now looking for a passionate and driven Senior Data Engineer to join their team.
This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance.
Job Role:
Work with Industry 4.0 data program team which includes project implementation vendor resources, data experts from the manufacturing engineering team, data analysts & business stakeholders.
Support end-to-end set up of data platform which is scalable and future proof for the company based on the functional/non-functional & technical requirements.
Integrate data platform with company applications and 3rd party system as required from both On-Premise and Multi-Cloud.
Expand and optimize our data and data pipeline architecture, as well as optimize data flow systems in a secured and scalable manner.
Assemble large, complex data sets that meet functional / non-functional business requirements, transforming data into formats that are easy to consume and analyze.
Translate complex business requirements into scalable technical solutions meeting data warehousing design standards.
Solid understanding of analytics needs and pro activeness to build generic solutions to improve overall efficiency.
Data Profiling & Cleansing of data by applying data quality checks before ingesting the data.
Ingest, transform, process, and store data efficiently into a database, data lake, or Data warehouse platform hosted on-premise or cloud-based environment.
Design & Build database, Enterprise Data warehouse design, and data modeling. To be able to organize data at both macro and micro levels and provide logical data models for the consumers.
Build a data foundation to provide an enterprise view of data across the organization which can be seamlessly accessed by Business users through Self-Service reporting.
Build a centralized data repository (Sand Box environment) with a robust data foundation to enable data discovery and data mining for advanced analytics use cases.
Work with stakeholders including the Product Owner, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with data and analytics experts to strive for greater functionality in our data systems.
Able to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
Requirements
Bachelor's degree in Science or Information Technology.
Certified in Data & Analytics Cloud-based solution.
Proven track record in designing and implementing large-scale data solutions, performing architectural assessments, optimizing data models, establishing and enforcing engineering guidelines and standards on Cloud-based environments.
4+ years of experience in technical architecture, design & build of Data & Analytics projects in a multinational organization on On-Premise & Cloud-based solutions.
In-depth experience in working with a data warehouse and knowledge on data warehouse modeling techniques.
Highly knowledgeable in ETL/ELT processes, both design and implementation using various leading tools like for example Informatica, Ab-Initio, Talend, etc.
Experienced in implementing data pipelines for stream and batch ingestion/processing using Open-Source tools (Kafka, Apache Spark) as well as Cloud Native solutions.
Good experience in building data pipelines that ingests various types of data sources (structured, semi-structured, and unstructured) into a database or data lake and populating a structured warehouse or data mart.
Experienced in the building data lake (distributed storage, Object store), databases & Data warehouse in the cloud (AWS, Azure, GCP), moving data applications to the cloud, and developing cloud-native data applications.
Experienced in implementing SQL, NoSQL databases & MPP databases.
Experience in Data archiving & Life Cycle Management, Data Warehouse design, BI reporting, and Dashboard development.
Prior experience in leading a team of technical developers will be a plus.
Advanced SQL and Python skills are mandatory.
Prior data modeling (dimensional, relational) and data engineering experience is mandatory.
Prior experience in leading a team of technical developers will be mandatory.
A strong understanding of development processes and agile methodologies is necessary.
WHAT'S ON OFFER
You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to .
Your interest will be treated with strict confidentiality.
TechBridge Market
If you are passionate about playing a key role in the success of the leader in solar innovation, we want to hear from you!
Our client is a well-established brand in the Renewable Energy Semiconductor Manufacturing Industry, they have access to over 1,000 patents and two best-in-class differentiated solar panel product lines and they are now looking for a passionate and driven Senior Data Engineer to join their team.
This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance.
Job Role:
Work with Industry 4.0 data program team which includes project implementation vendor resources, data experts from the manufacturing engineering team, data analysts & business stakeholders.
Support end-to-end set up of data platform which is scalable and future proof for the company based on the functional/non-functional & technical requirements.
Integrate data platform with company applications and 3rd party system as required from both On-Premise and Multi-Cloud.
Expand and optimize our data and data pipeline architecture, as well as optimize data flow systems in a secured and scalable manner.
Assemble large, complex data sets that meet functional / non-functional business requirements, transforming data into formats that are easy to consume and analyze.
Translate complex business requirements into scalable technical solutions meeting data warehousing design standards.
Solid understanding of analytics needs and pro activeness to build generic solutions to improve overall efficiency.
Data Profiling & Cleansing of data by applying data quality checks before ingesting the data.
Ingest, transform, process, and store data efficiently into a database, data lake, or Data warehouse platform hosted on-premise or cloud-based environment.
Design & Build database, Enterprise Data warehouse design, and data modeling. To be able to organize data at both macro and micro levels and provide logical data models for the consumers.
Build a data foundation to provide an enterprise view of data across the organization which can be seamlessly accessed by Business users through Self-Service reporting.
Build a centralized data repository (Sand Box environment) with a robust data foundation to enable data discovery and data mining for advanced analytics use cases.
Work with stakeholders including the Product Owner, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with data and analytics experts to strive for greater functionality in our data systems.
Able to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
Requirements
Bachelor's degree in Science or Information Technology.
Certified in Data & Analytics Cloud-based solution.
Proven track record in designing and implementing large-scale data solutions, performing architectural assessments, optimizing data models, establishing and enforcing engineering guidelines and standards on Cloud-based environments.
4+ years of experience in technical architecture, design & build of Data & Analytics projects in a multinational organization on On-Premise & Cloud-based solutions.
In-depth experience in working with a data warehouse and knowledge on data warehouse modeling techniques.
Highly knowledgeable in ETL/ELT processes, both design and implementation using various leading tools like for example Informatica, Ab-Initio, Talend, etc.
Experienced in implementing data pipelines for stream and batch ingestion/processing using Open-Source tools (Kafka, Apache Spark) as well as Cloud Native solutions.
Good experience in building data pipelines that ingests various types of data sources (structured, semi-structured, and unstructured) into a database or data lake and populating a structured warehouse or data mart.
Experienced in the building data lake (distributed storage, Object store), databases & Data warehouse in the cloud (AWS, Azure, GCP), moving data applications to the cloud, and developing cloud-native data applications.
Experienced in implementing SQL, NoSQL databases & MPP databases.
Experience in Data archiving & Life Cycle Management, Data Warehouse design, BI reporting, and Dashboard development.
Prior experience in leading a team of technical developers will be a plus.
Advanced SQL and Python skills are mandatory.
Prior data modeling (dimensional, relational) and data engineering experience is mandatory.
Prior experience in leading a team of technical developers will be mandatory.
A strong understanding of development processes and agile methodologies is necessary.
WHAT'S ON OFFER
You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to .
Your interest will be treated with strict confidentiality.
TechBridge Market
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Philippines
Permanent
Full-time
Permanent
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TechBridge Market
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