Senior Data Engineer

3 weeks ago

StratforduponAvon Warwickshire, United Kingdom Enable Full time

Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level?
Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. 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. 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. 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 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.
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.
You’ll have solid professional experience as a data engineer in many of the areas highlighted below, preferably in Cloud-based SAAS products. 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 DemonstrableAbility to author data transformations using ETL tools such as DBT.
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. LI-Hybrid
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