Data Engineer at Superloop

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Data warehousing, ETL processes, SQL, Python, Data modeling, Data integration, Data profiling, Data cleansing, Data orchestration, Data lakehouse, Databricks, Apache spark, Problem-solving, Communication, Collaboration

Industry

Telecommunications

Description

Company Overview Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses. We enable challenger retail brands (including Superloop and Exetel brands) to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform. Superloop provides connectivity and services to customers in three segments of the market: Consumer, Business and Wholesale. Our offerings leverage Superloop’s investments in physical infrastructure assets that include fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop and Exetel every day for their connectivity needs. Visit www.superloop.com to learn more. Business Unit Overview Our Operations unit is the engine room of Superloop - responsible for maintaining and supporting all of our products and internal technical infrastructure to ensure the best possible service to both our customers and our very own business. Our Operations unit is responsible for ensuring that the business has the technical capability and capacity to deliver services to all Superloop customers ranging from Home Broadband to International Wholesale. Role Purpose and Accountabilities The Data and Analytics team is responsible for managing the central data repository (Data Warehouse) and is looking for an experienced Data Engineer. In this role, you will play a crucial part in maintaining our data warehouse, Data modelling, ongoing management of ETL processes and integration of new data sources. In particular, the role will be accountable to: Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions. Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability. Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting. Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise. Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails. Collaborate with Data Analysts to support their analytical needs by providing clean and well structured data. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications and Experience Bachelor’s degree in software engineering, Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as a Data Engineer or as a Software Engineer, with a strong focus on data warehousing and ETL processes. Proficiency in data warehousing and data processing. Strong SQL skills for data querying, manipulation, and optimization. Proficiency in Python for scripting and automation of data processes. Experience working with Data Lakehouse technologies and platforms. Experience working with large volumes of data and complex data models. Knowledge of data integration techniques and tools. Proficiency in data orchestration concepts and tools Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Experience with telecom industry preferred. Experience with Databricks/Apache Spark will be an added advantage. On Offer Quarterly Superstar Awards – recognition for those who go above and beyond. Milestone Gifts & Birthday Cake. Referral Bonus – get rewarded for bringing great talent into the TechHub. Fruits & Nuts Mondays and Wednesdays - a healthy start to your week. Monthly Engagement Events – cricket matches, festive celebrations, and more. Quarterly Team Outings – SuperEats – time to unwind and connect outside work. SuperEats – enjoy affordable pre ordered breakfast and lunch options. Flexible Work – 3 days in the office, 2 days from home (once confirmed). Leadership & Development Training – Grow your skills and confidence. Career Excellence Program – build your future in telco and tech, right here at Superloop. Employee Assistance Program – we’ve got your wellbeing covered. At Superloop, we’re dedicated to creating a supportive and inclusive workplace where everyone feels safe, valued, and empowered to be who they are. We actively embrace diversity and celebrate the unique backgrounds, perspectives, and experiences of our team members. As an equal opportunity employer, we welcome applicants from all backgrounds to apply, regardless of gender, age, faith, ethnicity, nationality, sexuality, neurodiversity, or physical ability. We’re committed to ensuring that our hiring processes are accessible and inclusive for everyone interested in joining Superloop.

Responsibilities

The Data Engineer will maintain the central data warehouse, manage ETL processes, and integrate new data sources. They will collaborate with cross-functional teams to design efficient data solutions and ensure data accuracy, security, and reliability.