Core Data Engineer

We are a global technology group, headquartered in London.
We deploy experts and frontier technology, like AI, to help organisations thrive through change.

We have over 600 professionals (>75% hands-on technical talent) spread across Europe, North America and Asia, and are backed by Marlin Equity Partners. 

We help customers:

Work smarter – Building modern, scalable infrastructure, apps and workflows that actually improve your bottom line.

Engage personally – Creating digital experiences that capture attention, convert sales, and keep customers coming back.

Stay secure – Establishing the security, governance and compliance systems that protect you from threats, fines, and downtime.

We work with some of the world's biggest brands to solve their biggest problems.
From highly regulated financial institutions to fast-moving tech unicorns and global retailers.

Different worlds, same standard: we ship tangible outcomes into production, fast.
Then we work alongside customers to maintain and optimise them long term, upskilling their teams along the way.

Work where work matters.

At Beyond, we believe in work that leaves a mark. This role is for the innovative people who thrive on solving problems that don't have answers yet, for those who are accountable for tangible outcomes, and for individuals who act with integrity when it absolutely has to work. 

At Beyond, we believe in work that leaves a mark. This role is for the innovative people who thrive on solving problems that don't have answers yet, for those who are accountable for tangible outcomes, and for individuals who act with integrity when it absolutely has to work.

About The Role

The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

What You’ll Do

Develop and maintain automated data processing pipelines using Google Cloud:

• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Build and maintain automated data pipelines to monitor data quality and troubleshoot issues

Implement and maintain databases and data storage solutions:

• Stay up-to-date with emerging trends and technologies in big data and data engineering
• Ensure data quality, accuracy, and completeness

Implement and enforce data governance policies and procedures to ensure data quality and accuracy:

• Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes
• Develop and maintain data models to support analytics and reporting
• Monitor and maintain data infrastructure to ensure availability and performance

Requirements

What Success Looks Like

• Experience with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow.
• Proficiency in at least one programming language such as Python, Java, or Scala.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

Compensation and Financial Wellbeing

• Competitive base salary.
• De Minimis Allowance. 
• 13th Month Pay: Equivalent to one month’s base salary, paid every December.

Health and Wellness

• Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid).
• Sick Leave: 15 paid days per year, pro-rated from the start date.

Work-Life Balance and Growth

• Annual Leave: 28 days per calendar year (January 1 – December 31), pro-rated based on start date.
• Birthday Leave: An extra paid day off for your birthday. 
• Learning Leaves: Ten paid learning days per year.
• Philippine Public Holidays: Statutory holidays are included. 
• Bereavement Leave: 3 paid days.
• Parental Leave: Maternity or Paternity leave.
• Flexible Work Arrangement: Hybrid model (two to three days in the office).
• Peer Recognition: 100 Bonusly points per month for peer recognition.

Diversity and Inclusion

At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.