Enable is hiring an

Experienced Data Engineer

Stratford-upon-Avon, United Kingdom
Full-Time
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 - DemonstrableAbility 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.

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Engineer Q&A's
Report this job
Apply for this job