Senior Data Engineer, Consultant [Urgent]

London – Senior Data Engineer, Consultant EkimetricsUK Job Description About Ekimetrics Ekimetrics is a leader in datascience and AI-powered solutions. Since 2006, we’ve pioneered theuse of AI and data science applied to unified marketingperformance, measurement and holistic business optimization alignedwith sustainability goals. Our goal: Combine high-impact AI anddata science solutions for sustainable business performance. AtEkimetrics, we help companies seize their data opportunities bycreating new data and analytics capabilities and deploying datascience solutions that power-up their revenue strategy and improvetheir business operations. Key figures about Ekimetrics 1. 400+data science experts globally 2. 1000+ diverse projects for morethan 350+ clients 3. 4 offices: Paris, Hong Kong, London, and NewYork 4. UK data company of the year 2023 5. Voted Great Place toWork 2023 6. Microsoft’s sustainability partner 7. Voted as aleader in “Marketing Measurement and Optimization” by Forresterwave 2023 About the Role We have an exciting opportunity for aSenior backend engineer to join our London team! You will be a partof our growing team in London and key to helping us build our dataengineering capabilities and ensuring a link between our globaldata engineering and architecture team. This role will be part of aglobal Data Engineering & Architecture team which helps keepdata science projects operational across business lines (e.g., datalake implementation, data strategies, data transformation, advancemachine learning), actively contributes to the transformation ofour clients’ infrastructure and organisation, and democratisesdata-driven approaches. The primary focus of your role will be tolead the data engineering practices within your project teams andensure that we are delivering highly valuable and effective datascience solutions that meet the client’s needs. You’ll also besupporting the Managers and manage clients by answering theirquestions and sharing insights with them. You will carry outvarious projects with strong strategic impact and work onend-to-end projects for prestigious clients. Accountabilities 1.Work in close relation with Data Scientists helping them toindustrialise their design 2. Carry out the implementation oftailor-made, high-performance, scalable Data Engineering Solutions3. Identify and provide tools and advice for data ingestion,processing, and analysis and empower other domains in gainingvaluable Insights through them 4. Proactively support the Managersin building high-end client materials and commercial proposals 5.Be the subject matter expert, advising and building solutions, inthe contexts of PoC, Datalab or Datalake 6. Have an innovativemindset to implement complex algorithms in a Big Data environment7. Engineering lead and mentoring; contribute to the development ofData Engineers through knowledge sharing and mentorship 8. Managethe technical relationship between Ekimetrics and our clients inthe UK and internationally 9. Develop and share your knowledge inyour project teams but also in the context of exciting Innovationand R&D topics 10. Adopting and living by Ekimetrics’ values:Curiosity, Creativity, Excellence, Transmission and Pleasure. AboutYou We are looking for someone who can wear 2 hats – the technicalexpert and the strategic consultant – and so you’ll need to showboth advanced technical acumen and a strong interest in businessstrategy. Requirements: You will currently be a Senior DataEngineer or Backend Software Engineer, with hands-on experiencebuilding data pipelines and comfortable doing so autonomously. Youare a Subject matter expert on building ETL processes and relatedtechnologies on cloud platforms. You’ll ideally have worked acrossmultiple projects end-to-end and have experience partnering withdata scientists or other senior stakeholders, both internally andclient-side. You’re looking for the next step and the opportunityto work in a dynamic and growing team. You’ll need to have priorexperience of data architecture, engineering, and deliveringproduction-ready solutions for Data Science or Business Analyticsteams in a business setting, preferably in a service provider, orwithin a highly regarded global corporation with a compellingreputation for analytics. Ideally, you’ll have: 1. Degree inComputer Science, Engineering, Mathematics, or a related field 2.4+ years of work experience in data engineering and a passion fordata 3. 4+ years of extensive experience in Azure Cloud platformarchitecture and in-depth experience developing and deployingproduction-ready Data Engineering pipelines 4. 4+ years experiencebuilding data products incrementally and integrating and managingdata sets from multiple sources. 5. 4+ years hands-on experience inkey data management technologies, including Python but not limitedto SQL, PySpark, Scoop, etc. 6. Experience working on use cases fordifferent file formats and database management systems includingNOSQL databases 7. Conceptual understanding of data managementincluding governance processes and platforms, data visualisation,transformation in data-warehouses or data-lakes. 8. Ability toapply analytical and innovative thought processes in creating DataEngineering market-ready capabilities Great to have: 1. CloudCertification is a plus (although there are opportunities toachieve certification once you’re with us) 2. Experiencebuilding/operating highly available, distributed data pipelines forData Science or BI teams 3. Experience building a robust MLPipeline or at least have a good conceptual understanding of it 4.Experience providing technical leadership and mentoring otherengineers for the best practices in the data engineering spaceTransversal Skills People are at the centre of who we are atEkimetrics, so as well as excellent technical skills, it’simportant that you also have the following: 1. Excellentcommunication skills – especially translating complex technicalfindings into insights and stories for stakeholders (internal andexternal) 2. A demonstrated ability to effectively manage multipleprojects 3. An ability to work autonomously and be self-motivated4. A team-oriented and collaborative working style, both withclients and within Ekimetrics 5. A passion for joining a small teamand a desire to help the business grow quickly Working for EkiWorking for Ekimetrics is a lot of fun! We have clients acrossmultiple industries and are constantly looking to innovate andexplore new ways of doing things. Our London team consists of ~60people and are predominantly Data Science Consultants. We come fromall over the world, have varied experiences and passions, and allcontribute value to Ekimetrics’ success. We encourage continuousself-development and thought leadership throughout Ekimetrics andfoster a culture of transmission and pleasure – we love what we do,and we want to share it! As well as an opportunity to join adriven, energetic, and highly innovative team, we also offer thefollowing: 1. Competitive Salary + Bonus Scheme 2. Hybrid working(2 days a week in the office) 3. Work remotely anywhere up to 20days a year 4. 25 days annual leave (+ Bank Holidays and additionaldays for tenure) 5. Private healthcare, life insurance, criticalillness cover, and professional wellbeing support services 6. Grouppension scheme 7. An emphasis on work-life-balance and a strongcompany culture 8. Unique training programs and learningopportunities. 9. Opportunities for international mobility 10.Regular socials and events Our recruitment process HR introinterview with a Talent Acquisition Specialist/RecruiterPeer-to-peer interview Case study interview Final in-personinterview with a member of the management team Any questions pleasecontact At Ekimetrics, we believe ourbest assets are our people - they are what set us apart and driveour success. We share what we know with others, and, above all, welove what we do. These sentiments are supported by our companyvalues which serve as pillars in our work and attitude. OurEkimetrics’ values: Curiosity, Creativity, Excellence, Transmissionand Pleasure. Ekimetrics is an equal opportunities employercommitted to making all employment decisions without regard torace, ethnicity, gender, pregnancy, gender identity or expression,creed, religion, nationality, age, disability, marital status,sexual orientation, military veteran status, current employmentstatus, or any other legally protected categories, subject toapplicable law. #J-18808-Ljbffr