Description

Position at Resolver No two days at Resolver will look the same. One day you could be working with our Machine Learning team to ensure they have data to train a model that will classify the content we collect. The next day, you could be helping our Data Scientists optimise a graph schema, to uncover networks of bad actors. Then, you could find yourself working alongside our Data Analysts to optimise a storage strategy, improving our efficiency when querying our databases.As a Senior Data Engineer, you will be responsible for managing data projects, ensuring efficient flow, storage and management of our data, which are used for operational and analytical purposes.You will coach and mentor junior members of the team, making sure that their skill set is being developed and they are working towards best practices. Part of your role will be to leverage new technologies to ensure that we are at the forefront of development. Resolver is a product-led organisation and must ensure that those products are both developed to the level of quality we expect and that we maintain that level of quality whilst they are in operation. The purpose of quality within Resolver is to ensure that the end user experience both internally and externally of our products meets expectations.Responsibilities:Manage data pipelines for efficient processing, storage and access of operational and analytical data flows. Manage data acquisition from internal departmental systems, optimising for scale and automating manual processes. Relentlessly target opportunities to improve our data quality. Integrate our data across multiple internal sources. Support development of data schemas across the department for effective data management. Advise on best in class technology and tools for managing data across the organisation and integration of those tools with Resolver owned technology. Work self-sufficiently and actively seek out help/knowledge when faced with uncertainty. Own key projects and ensure work is delivered within timescales and to a high standard. Carry out analysis in a transparent, repeatable and robust way. Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues Actively engage in transformation as the organisation evolves the services it provides to customers. Experience and Skills: BSc in related subject (or equivalent). Demonstrable and commercial experience in a data field. Demonstrable experience in building and managing big data pipelines across multiple systems. Experience in building effective data engineering processes across complex data systems Experience with big data tooling, with a primary focus on GCP Ability to use REST APIs. Ability to manipulate data in SQL. Knowledge of programming languages such as Python or Javascript. Ability to communicate results and technical concepts to a non-technical audience. Experience of working in teams and collaborating with others to deliver joint projects. Familiarity with different types of databases such as relational databases and NoSQL databases Desirable: Familiarity with the Neo4J’s graph query language, Cypher Ability to manage multiple projects under different stakeholders and competing timescales Proven ability to work and contribute effectively within an organisational setting Experience working with Google Cloud Platform. Benefits:Our rewards are as unique as our culture, and we want to attract the best people and retain them. Not only will we ensure that your development is key, but you will be joining a fantastic team of like-minded people who work together as one team to achieve a shared vision. We offer an excellent salary and benefits package which includes: Market competitive pay rates based your skills and experience Discretionary bonus scheme / commission scheme with payment based on revenue generated as a result of generated sales leads 33 days holiday including Bank Holidays Critical Illness insurance Life Insurance Cover Healthcare Cash Plan / Healthcare, dental and vision plan An attractive pension / 401k retirement plan scheme Cycle to Work Scheme Employee perks schemes offering discounts, rewards, giveaways and more Mental health wellbeing portal and access to an in-house clinical psychologist Support and provision of supplies to facilitate home working Flexible working opportunities Statement: 'This work meets the requirements in respect of exempted questions under the Rehabilitation of Offenders Act 1974, any applicants who are offered work for this organisation will be subject to an enhanced check from the Disclosure and Barring Service (DBS). This will include details of cautions, reprimands or final warnings as well as convictions. A criminal record will not automatically bar a person from successfully taking up this post. Crisp, a Kroll business is committed to creating an inclusive work environment. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.