JOB TITLE: Senior Data Engineer - CL10

WORK SET UP: Onsite in Manila/ Taguig

WORK SHIFT: Shifting

Salary budget: 45K - 65K (Confidential)

(Salary is confidential, but sharing a range here for sourcing purposes only; never share with your candidates; only give them a hint that once they are selected, the final salary offer will depend on the client and project they will be assigned to)


Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.


Position Overview: We are seeking a highly skilled Senior Data Engineer to design, build, and optimize our next-generation data platform on Google Cloud Platform (GCP). In this role, you will be the backbone of our data architecture, responsible for developing robust batch and streaming data pipelines, handling complex file ingestions, and ensuring the absolute reliability of our data ecosystem.If you are a problem-solver who thrives on optimizing complex SQL queries, orchestrating intricate workflows, and troubleshooting high-throughput data streams, we want you on our team.


Required Qualifications & Skills:


• Minimum 2 year(s) of relevant experience is required

• GCP Ecosystem: Strong, hands-on experience with Dataflow, Cloud Composer, and BigQuery. Working knowledge of Cloud Spanner is highly desirable.

• Data Streaming: Proven experience handling both batch and real-time/streaming data processing paradigms (e.g., Pub/Sub to Dataflow).

• Languages: Mastery of SQL (analytical and transactional) and proficiency in Python or Java (for Apache Beam/Airflow).

• Operations: Strong experience in monitoring, logging, and alerting (e.g., GCP Cloud Monitoring/Cloud Logging) and standard debugging practices.

• Data Engineering Fundamentals: Solid understanding of data modeling, ETL/ELT processes, and handling various file formats (Avro, Parquet, JSON, CSV).


Nice-to-Have Qualifications

• Google Cloud Certified Professional Data Engineer.

• Experience with CI/CD pipelines for data infrastructure (Terraform, GitHub Actions).

• Familiarity with data governance and security best practices on GCP (IAM, KMS, DLP).


Additional Information:

• This position is based at our Manila office.

• Open for those applicants who are currently in the Philippines and already have the right to live and work in this country are eligible for this role

• Must not have an active or recent application with Accenture

• Should not be currently or recently employed with Accenture


RECRUITMENT PROCESS:


• Screening with CV Reviewer

• Endorse for Validation and further CV screening through Workday, along with the HRI toolkit, FCV, and CV

• For review with the client


**REMINDER: Please do not include the name of the client and estimated salary in all your job postings. Kindly ensure that you upload the CVs of your candidates in PDF format with screening notes based on the JD provided.**


PRE-SCREENING QUESTIONS:


1. How many years of relevant working experience do you have as a Data Engineer?

2. How many years of experience do you have in the GCP Ecosystem?

3. Share all your technical and soft skills relevant for this role.

4. How much is your last drawn salary?

5. What is your salary expectation?

6. Are you amenable to working onsite setup with a shifting schedule in Manila?

7. Do you have an active application or Workday Account with Accenture?