ECS are one of the leading and fastest growing Digital Transformation Consultancies in the UK, specialising in Cloud Enablement, Data & Analytics, Cost Optimisation, DevOps and Customer Experience. Working with an enviable client base of Enterprise level organisations, our work enables companies to be fit for purpose in the 21st century.
Our values define the way we do business. Were obsessive about delivering business value through technology and operate with a strong, continuous customer focus. We prioritise integrity in all that we do providing a transparent support structure to help our people develop skills to progress their career.
As leaders in Digital Transformation were adaptable and quick to embrace change and new technologies. We believe in hiring people passionate about delivering cutting-edge modern software and platforms. Our biggest asset is our people! People who dont settle for second best and people who work and win in teams to deliver the best solutions. Everyone at ECS is encouraged to do things differently, to believe in themselves and each other, and to make daring decisions even if it means making the occasional mistake.
Youll be working on a variety of industry leading projects, often with organisations that have their own challenges, so youll need to be able to adapt seamlessly to different ways of working and quickly build relationships to create a collaborative approach with your team and stakeholders.
We offer a great benefits package and opportunity to get exposure to unique, cutting edge projects with a team of like-minded individuals all striving for the same goals. The nature of our work is consulting, so whilst well look to have you based from your local office/region (London, Edinburgh, Manchester, Glasgow, Pune), there will be an element of travel involved in meet clients and embedding solutions.
As an ECS Data Engineer youll develop using languages like python, r etc. to transform data as well as developing data pipelines and visualisation solutions using industry recognised common tooling and expertise
About the role:
- Accountable for the end-to-end deployment and usage for AWS data services.
- Experienced in customer facing roles and success leading deep technical architecture and design discussions with senior executives.
- Interfaces with delivery teams to design AWS data services solutions in support of the over-arching analytics services solution
- Architects scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake/ Data Warehouse strategy, heterogeneous data management, Polyglot Persistence, decision support over Data Lake and Data Warehouse
- Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios. Report on progress of business objectives; Ensure plan execution, Document and share technical best practices / insights with Engineering teams and the solution architect community
- Design data pipelines to support machine-learning solutions
About you (ideally):
- Deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), noSQL, and business analytics
- Demonstrated success in consultative/complex technical deployment projects (where necessary, managing various stakeholder relationships to get consensus on solutions)
- Understanding of big data use-cases and Hadoop-based design patterns, Knowledge of real time/stream analytics trends
- Experienced across architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
- Demonstrable hands on experience implementing Big Data solutions using AWS Data Platform and AWS Data Services
- Experience operationalising end-to-end cloud analytics solutions
- Experience of creating DWH/Datalakes, orchestrating data processing activities in a data-driven workflow, monitoring and managing the data pipelines and repositories, move, transform, and analyse data
- Experience of creating and managing experiments, determining when to pre-process or train ML models, select input/output types, apply custom processing steps, and publish web services
- Designing big data real-time processing solutions
- Experience of ingesting data for real-time processing, designing and provisioning compute resources, designing appropriate architecture, design for real-time processing
Technical Insight:
- Deep technical experience in one or more of the following areas: Software design or development, Application Design, Systems Operations / Management, Database architecture, Virtualization, IP Networking, Storage, IT Security
- Working knowledge with AGILE development, SCRUM and Application Lifecycle Management
Why ECS?
Our inclusive, positive culture empowers our people to create their own high standards and therefore more value. At ECS, our goal is to build an inclusive culture where everyone can feel comfortable being themselves. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Whilst we offer the flexibility of hybrid working our offices feature pods for collaboration and breakout areas for when you need to be in the zone, not forgetting the great coffee and memorable social events.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation. We are proud signatories to the Tech Talent Charter which was created because solving the diversity problem in tech requires a collective effort across companies and sectors – https://www.techtalentcharter.co.uk/
ECS employees benefit from a comprehensive health and wellness plans including private healthcare (clinical & mental), discounted gym memberships, in office yoga sessions & massages. We offer a fantastic benefits package including a competitive pension scheme, reward & recognition through bonus/company reward card, and more.
