Intel Corporation
Experienced Data Engineer
Job Description
Then welcome to Enable 🚀
What is Enable:Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed.
All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day.
We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team.
Job Summary Do you want to grow your expertise and experience and use your skills in a vibrant environment where teamwork, creativity, diversity, inclusivity, and technical excellence are expected and enjoyed? We are seeking someone who is eager to take their software engineering career to the next level. This is an exciting role that offers a competitive remuneration package with excellent career and growth prospects. An opportunity to join and help grow an organisation that is using modern technology to positively impact people and businesses all over the globe. You will work collaboratively with other software engineers, from associates to principals, applying your technical and problem-solving capabilities to scale our applications. You’ll contribute to our high-quality data engineering practices, participating in technical design, implementation, testing, deployment, and ongoing support and maintenance of our data platform. By going above and beyond implementing new features, we focus on customer experience, building a high-quality, secure, and scalable data platform. You’ll apply your skills effectively and continue to develop them, while benefiting from the expertise of your more experienced colleagues, including: – Pair and mob-programming. – Peer code reviews. – Modern big data architecture. – Continuous integration and automated production deployments. – Application health and availability monitoring. – Data platform design patterns driving robustness, scalability, and performance. We want all our people to be whoever they want to be and are committed to creating a truly inclusive culture at Enable. We believe that bringing your full authentic self to work helps us to build the best quality software, and by creating a truly diverse workforce we bring innovation into everything we do.
What we are asking you to do!
· Working as part of an enthusiastic, fast paced and motivated agile data platform team that takes pride in delivering a high-quality platform.· Continually developing and improving our data pipelines and technologies.· Developing our Data Platform SDK.· Helping to shape and design new data products and features within a Data Mesh architecture.· Pairing with senior engineers to improve knowledge.· Sharing our knowledge and experience to help drive forward improvements.
What we are asking you to bring!
This is a technical role focused on the development of our SaaS products suited to a proactive, committed engineer. Development is a small part of our engineers’ responsibilities and you’ll be expected to contribute to all areas of our Engineering work including contributing to product and feature design and participating in continuous improvement efforts.
You’ll have solid professional experience as a data engineer in many of the areas highlighted below, preferably in Cloud-based SAAS products. Ideally you’ll have at least 3 years of experience here, but we focus on skill and ability, not tenure.
· Data Modelling and Querying – Proficiency in designing and implementing data models, including star schemas and snowflake schemas. Expertise in SQL.
· Data Storage Technologies – Experience in SQL, NoSQL, Blob, Delta Lake, and other enterprise scale data stores.
· Data Processing Frameworks – Proficiency in designing and building data pipelines for data processing and transformation. Familiarity with scheduling tasks and jobs for data processing using basic tools or platforms. Proficiency in automating simple data workflows and ETL processes.
· Data Streaming and Messaging Systems – Proficiency in basic messaging concepts like producers, consumers, and message queues.
· Data Quality and Governance – Knowledge of basic data governance principles and compliance requirements. Competence in implementing data quality frameworks and automated checks.
· Data Integration and ETL – Demonstrable ability to author data transformations using ETL tools such as DBT.
· Cloud Platforms – We are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable.
· Coding Languages – Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential.
· Machine Learning and Data Science Tools – Any experience in MLOps and productionising data science initiatives would be beneficial.
· Data Analysis and Storytelling – Proficiency in interpreting data analysis results and drawing meaningful conclusions.Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
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