Job Description
Do you want to design new ways of processing Enterprise scale data at speed, introduce leading edge technologies, invent complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series C rocket ship to the next level?
Then welcome to Enable \uD83D\uDE80
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 $156m to date in Series A, B & C funding. We are continually growing our client base, product portfolio and hyper-talented team.
Do you want to design new ways of processing Enterprise scale data at speed, introduce leading edge technologies, invent complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series C rocket ship to the next level?
All about You:
Do you want to leverage your expertise and experience in a vibrant environment where teamwork, creativity, diversity, inclusivity, ownership, and technical excellence are expected and enjoyed? We are seeking someone who is eager to take their data 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 engineers, from associates to principals, applying your technical and problem-solving capabilities to scale our data platform.
You’ll work as a senior voice within the data engineering team to uphold and evolve common standards and best practices, collaborate to ensure that our data solutions are complementary and not duplicative. contributing to 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 high-quality, secure, and scalable software. You'll use your full range of skills and further develop them and those of your colleagues, including:
Problem-solving, and the ability and confidence to hack their way out of tight corners.- Peer code reviews.
- Modern big data architecture design.
- Ability to prioritise and meet deadlines.
- Attention to detail and solid written and verbal English communication skills.
- Willingness and an enthusiastic attitude to work within existing processes / methodologies.
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.
Location:
We are a hybrid-working engineering team, with a relaxed and fun culture. Our office is in Stratford-upon-Avon, a short walk from the town and its train station. We have on-site car parking available to staff, along with free Electric Vehicle charge points. We are also a pet friendly office!
Skills and Experience:
This is a senior technical role focused on the development of our SaaS products suited to a highly focussed, ownership driven 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 product and feature design, leading and mentoring, and helping us to continually improve.
You’ll have focussed professional experience as a data engineer, preferably in Cloud-based SAAS products. Ideally, you’ll have at least 5 years of experience here, but we focus on skill and ability, not tenure.
Big Data processing - We process enterprise scale volumes of data having experience of ways of working with these for example Snowflake, Databricks, BigQuery.- Architecture design - Experience in leading the design and implementation of lambda architectures for scalable and reliable data processing.
- Data Stores - Technical excellence in SQL, NoSQL, Blob,Delta Lake, and other enterprise scale data stores.
- Data Orchestration - Enterprise scale usage of technology such as Azure Data Factory, Logic Apps, DBT, SnapLogic, Spark or similar tools.
- Software tooling - GIT/GitHub, CI/CD, deployment tools like Octopus, infrastructure as code and other DevOps practices.
- Scrum Methodologies - Experience of working within scrum frameworks and tools such as JIRA and Confluence
- Cloud - We are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable.
- Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential.
- Working as part of an enthusiastic, fast paced and motivated agile data engineering team that takes pride in delivering a high-quality data platform.
- Coaching and mentoring other engineers.
- Design, develop, test, and deploy data pipelines and integrations using IPaaS technology.
- Collaborate on the engineering platform ingestion, orchestration, data warehouse/data lake and API strategies for our data management ecosystem.
- Interface with other technology teams to design and implement robust products, services and capabilities for the data platform making use of infrastructure as code and automation.
- Identify and deliver improvements to data engineering at Enable.
- Collaborate with our DevOps team to provide high availability data solutions that scale geographically
- Fantastic holiday entitlement
- Flexible and hybrid working
- Pension contributions and life insurance
- Employee equity scheme and colleague bonus plan
- Quarterly personal-wellness budget
- Regular social events
- Free lunches, snacks, and drinks
- Significant investment in skills development and training
- Enhanced Family Friendly Policy (Maternity pay, Adoption and Paternity leave)
- Join any of our 5 DEI workstreams that are helping to shape how we can continue to support and celebrate our people, truly embodying our key value of "We Succeed Together"
Our Commitments :
Do you need any reasonable adjustments throughout the interview process? Our Talent team will be happy to support you in the best way possible if you feel comfortable raising this. If you have any questions about any of the policies we have in place to support our employees just let our Talent team know.
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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