London – Senior Data Engineer, Consultant
Ekimetrics UK
Job Description
About Ekimetrics
Ekimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing performance, measurement and holistic business optimization aligned with sustainability goals.
Our goal: Combine high-impact AI and data science solutions for sustainable business performance.
At Ekimetrics, we help companies seize their data opportunities by creating new data and analytics capabilities and deploying data science solutions that power-up their revenue strategy and improve their business operations.
Key figures about Ekimetrics
- 400+ data science experts globally
- 1000+ diverse projects for more than 350+ clients
- 4 offices: Paris, Hong Kong, London, and New York
- UK data company of the year 2023
- Voted Great Place to Work 2023
- Microsoft’s sustainability partner
- Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023
About the Role
We have an exciting opportunity for a Senior backend engineer to join our London team! You will be a part of our growing team in London and key to helping us build our data engineering capabilities and ensuring a link between our global data engineering and architecture team. This role will be part of a global Data Engineering & Architecture team which helps keep data science projects operational across business lines (e.g., data lake implementation, data strategies, data transformation, advance machine learning), actively contributes to the transformation of our clients’ infrastructure and organisation, and democratises data-driven approaches.
The primary focus of your role will be to lead the data engineering practices within your project teams and ensure that we are delivering highly valuable and effective data science solutions that meet the client’s needs. You’ll also be supporting the Managers and manage clients by answering their questions and sharing insights with them. You will carry out various projects with strong strategic impact and work on end-to-end projects for prestigious clients.
Accountabilities
- Work in close relation with Data Scientists helping them to industrialise their design
- Carry out the implementation of tailor-made, high-performance, scalable Data Engineering Solutions
- Identify and provide tools and advice for data ingestion, processing, and analysis and empower other domains in gaining valuable Insights through them
- Proactively support the Managers in building high-end client materials and commercial proposals
- Be the subject matter expert, advising and building solutions, in the contexts of PoC, Datalab or Datalake
- Have an innovative mindset to implement complex algorithms in a Big Data environment
- Engineering lead and mentoring; contribute to the development of Data Engineers through knowledge sharing and mentorship
- Manage the technical relationship between Ekimetrics and our clients in the UK and internationally
- Develop and share your knowledge in your project teams but also in the context of exciting Innovation and R&D topics
- Adopting and living by Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.
About You
We are looking for someone who can wear 2 hats – the technical expert and the strategic consultant – and so you’ll need to show both advanced technical acumen and a strong interest in business strategy.
Requirements:
You will currently be a Senior Data Engineer or Backend Software Engineer, with hands-on experience building data pipelines and comfortable doing so autonomously. You are a Subject matter expert on building ETL processes and related technologies on cloud platforms. You’ll ideally have worked across multiple projects end-to-end and have experience partnering with data scientists or other senior stakeholders, both internally and client-side. You’re looking for the next step and the opportunity to work in a dynamic and growing team.
You’ll need to have prior experience of data architecture, engineering, and delivering production-ready solutions for Data Science or Business Analytics teams in a business setting, preferably in a service provider, or within a highly regarded global corporation with a compelling reputation for analytics.
Ideally, you’ll have:
- Degree in Computer Science, Engineering, Mathematics, or a related field
- 4+ years of work experience in data engineering and a passion for data
- 4+ years of extensive experience in Azure Cloud platform architecture and in-depth experience developing and deploying production-ready Data Engineering pipelines
- 4+ years experience building data products incrementally and integrating and managing data sets from multiple sources.
- 4+ years hands-on experience in key data management technologies, including Python but not limited to SQL, PySpark, Scoop, etc.
- Experience working on use cases for different file formats and database management systems including NOSQL databases
- Conceptual understanding of data management including governance processes and platforms, data visualisation, transformation in data-warehouses or data-lakes.
- Ability to apply analytical and innovative thought processes in creating Data Engineering market-ready capabilities
Great to have:
- Cloud Certification is a plus (although there are opportunities to achieve certification once you’re with us)
- Experience building/operating highly available, distributed data pipelines for Data Science or BI teams
- Experience building a robust ML Pipeline or at least have a good conceptual understanding of it
- Experience providing technical leadership and mentoring other engineers for the best practices in the data engineering space
Transversal Skills
People are at the centre of who we are at Ekimetrics, so as well as excellent technical skills, it’s important that you also have the following:
- Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external)
- A demonstrated ability to effectively manage multiple projects
- An ability to work autonomously and be self-motivated
- A team-oriented and collaborative working style, both with clients and within Ekimetrics
- A passion for joining a small team and a desire to help the business grow quickly
Working for Eki
Working for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~60 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.
We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it!
As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:
- Competitive Salary + Bonus Scheme
- Hybrid working (2 days a week in the office)
- Work remotely anywhere up to 20 days a year
- 25 days annual leave (+ Bank Holidays and additional days for tenure)
- Private healthcare, life insurance, critical illness cover, and professional wellbeing support services
- Group pension scheme
- An emphasis on work-life-balance and a strong company culture
- Unique training programs and learning opportunities.
- Opportunities for international mobility
- Regular socials and events
Our recruitment process
HR intro interview with a Talent Acquisition Specialist/Recruiter
Peer-to-peer interview
Case study interview
Final in-person interview with a member of the management team
Any questions please contact
At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude.
Our Ekimetrics’ values:Curiosity, Creativity, Excellence, Transmission and Pleasure.
Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.
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