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Reimagining information management

Data Engineer

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We are looking for an Engineer from a computer science or numerical/statistical background to join our data and analytics

practice at Aiimi. You will join an established team consisting of data scientists, data visualisation consultants, AI developers

and data analysts, working collaboratively on both internal and external projects. You will help this team get the data they

need by sourcing it from disparate systems, cleansing, transforming and prepping the data for use within analytical and

predictive models.

We will train you in the tools and tech required to do this but analytical thinking, problem solving and coding skills are

required for this role. Aiimi will invest in your personal development, providing opportunities to obtain professional

qualifications, attend technology conferences, and taking part in team hacks to explore cutting-edge technologies and

ideas.

You will have the opportunity to help businesses grow through adopting new and exciting technologies, such as: cloudbased

analytics, enterprise search, predictive modelling and real-time reporting. We help our customers solve problems

and make the right decisions using data insight and advanced analytics. Almost all our work is done by embedding

ourselves into customer teams, so you will be required to travel onsite to be part of one of the many innovative projects that

we run within utilities, manufacturing, retail and finance sectors.

Due to the nature of the work we do, all applicants will need to be able to travel and potentially work away from home as

part of the role.

Requirements

The key areas of responsibility for the Data Engineer include:

• Collaboration: you will be excited by working as part of a team of data scientists, analysts and visualisation

professionals

• Communication: you will possess an ability to communicate complex technical concepts to non-technical/business

users

• Problem Solving: be able to use data as a foundation to solve business problems

• Analytical Thinking: an ability to break down complex problems into single and manageable components

• Detail Oriented: an ability to maintain a high standard of outputs under tight deadlines

• Lead by Example: help inspire our clients to embrace new technologies and ways of thinking

• Understanding legacy processes and adapting new technology to manage change

• Meeting with areas/of business to gather requirements and an understanding of data

We would like to hear from people with academic and or commercial experience in the following areas:

• SQL coding skills

• Python coding skills

• Experience optimising database queries and ETL processes including performant joins and indexes

• SQL Server Integration Services to setup, design and manage ETL jobs

• SQL Server Management Studio for setup, administration and management of databases

• Knowledge of Azure data services (ADF, Azure Data Lake Analytics, Data bricks)

• Familiarity with distributed systems (Hadoop, MapReduce, Hive, U-SQL, Spark, etc.)

• Familiarity with unstructured data and No-SQL technologies

Qualifications

Academic background in Computer Science, Maths, Physics, numerical or statistical discipline or demonstrable

commercial experience in lieu of this

Benefits

• Competitive starting salary

• Up to 10% of basic salary in flexible benefits (to include death in service and critical illness cover as standard

plus private healthcare, dental, pension etc.)

• Up to 10% of basic salary in bonus

• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years

• Promote training and personal development

• Bi-annual company retreats

We’re a small team working our way through lots of applications, so please bear with us. If you don’t hear from us within two weeks, we’re sorry that it’s not worked out this time. We’ll keep your details on file for any relevant roles that come up – to opt out of this, just drop us an email: crichmond@aiimi.com.

Aiimi is an Equal Opportunities employer and applicants are selected solely based on their relevant aptitudes, skills and abilities in line with the job they are applying for. No applicant shall receive less favourable treatment on the grounds of sex, marital status, civil partnership status, trans-gender status, pregnancy, maternity, race, nationality, ethnic origin, religion, belief, sexual orientation, disability, age. This is not an exclusive list.

Aiimi at a glance

Reimagining information management

Aiimi focuses on Enterprise Software, Machine Learning, Big Data, Product Design, and Startups. Their company has offices in London. They have a mid-size team that's between 51-200 employees.

You can view their website at http://www.aiimi.com/