Analytics Engineer

United Kingdom

Applications have closed

Credera

Credera is a consulting firm focused on strategy, transformation, data, engineering, and cloud.

View company page

Would you like to help build a world-class data and analytics engineering organisation in one of the UK’s fastest-growing technology consultancies? We’re looking for outstanding analytics engineers who want to combine their passion for data with their expertise in engineering, to deliver the next generation of data solutions for our clients.

Credera helps organisations solve their biggest, most challenging data problems. We’ve created digital banks from scratch on AWS, delivered streaming analytics solutions that protect the country and built massively scalable data platforms for some of the world’s biggest companies. We do all this in a work environment where regular social events, inclusivity and an ego-free culture mean we’ve been officially voted a “Great Place to Work” for five years in a row. 

We draw on our reputation for outstanding delivery to allow our engineers to do the right thing for our clients, and not necessarily the easy thing. Innovation is in our DNA, and we encourage our engineers and consultants to work together to rethink conventional wisdom on how problems should be solved.

Requirements

Here’s what you will do

In this role, you’ll:

  • Work with our clients to understand their businesses and their needs and build compelling data products that support a range of stakeholders, including analysts, data scientists and marketers, via analytic datasets and decision automation
  • Bring the principles of agile software development to your work, creating sustainable, reusable self-serve data products that deliver high-quality data and are easy to maintain and extend
  • Discover and assess a broad range of datasets to address our clients’ needs, and uncover insights within the data using a variety of techniques such as clustering and predictive modelling
  • Work with architects, platform and data engineers to operationalise and scale data product to support hundreds or thousands of users
  • Work across a variety of public and private cloud data platforms, especially AWS, Azure and GCP, and grow the breadth and depth of your skills on these platforms
  • Have the opportunity to spend a day a week working on a combination of internal products and your own development

Hours

This is a permanent role within our Technology function.  We consider flexible ways of working, that allow the best outcomes for our people and clients.  Working closely with our clients is key to successful outcomes, and so travel both UK and international is a requirement. 

Responsibilities

As an Engineer at Credera, you will spend roughly 80% of your time on client work, solving interesting problems, with the remainder of your time spent working on internal projects and I.P. as well as training and development.  

Have a look at some of the work we've completed on our website or reach out to us for more information: Case Studies (credera.co.uk).

Who you are

You’re someone who combines the engineering rigour of a Data Engineer with the analytical instincts of an Analyst – you care about delivering easy-to-use, sustainable, manageable data products to stakeholders that genuinely help them use data to do their jobs more effectively. You are perceptive, personable, culturally sensitive and demonstrate a high degree of emotional intelligence, and are great at teasing out what stakeholders are really looking for, and adapting your approach when they change their mind.

You’ll have the following technical skills and experience:

  • 5+ years of data engineering/analytics development experience in SQL, Python/Pandas or similar
  • Strong experience with relational data and data modelling
  • Experience with code and release management via a platform like GitHub, Azure DevOps, Jenkins, etc.
  • Familiarity with delivering structured data into a modern reporting/dashboarding platform such as Looker, Power BI, Tableau etc.
  • Experience with modern cloud data platforms such as BigQuery, Synapse, Redshift, Snowflake etc.
  • Proven ability to build well-modelled data products that deliver real decision-making value for stakeholders
  • Experience communicating data-driven insights to business stakeholders
  • Experience leading stakeholder/client engagement
  • Experience leading and coordinating the work of a team, and mentoring more junior staff

It would be great if you had any of the following desirable skills:

  • Experience with a modern data modelling technology platform (dbt, Dataform, etc.)
  • Experience working with external public datasets via data APIs
  • Knowledge of common ML platforms and libraries such as Sagemaker, DataBricks, Azure ML, DataRobot, Dataiku, TensorFlow
  • Experience of productionising Machine Learning algorithms and feature extraction
  • Experience with pipeline orchestration using Airflow, Azure Data Factory, AWS Glue etc.
  • Experience with real-time data processing and analytics (e.g. using Kafka, Kinesis)

Who we are

Credera is a consulting firm focused on strategy, transformation, cloud, data and engineering, with over 600 consultants around the globe. Our purpose is to make an extraordinary impact on our clients and our people. We adhere to Credera core values of Integrity, Tenacity, Personal Touch, Humility and Pragmatism at all times. Our inclusive culture has resulted in us receiving several Great Place to Work accolades, including the Excellence in Well Being Award 2020.

Benefits

This is what you get in return

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefit plan. 

Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis. You can also expect:

  • A highly collaborative working environment and great rates of pay (including base salary and bonus potential).
  • A range of flexible benefits consisting of well-being and lifestyle benefits.
  • A commitment to your development & continuous growth of skills through one-to-one mentoring and wide-ranging hands-on experience.
  • 25 days’ holiday and the ability to flex this to 30 days if you choose to do so.
  • 2 days’ CSR volunteering days.
  • Award-winning learning and development opportunities, including dedicated time and a wide range of choice in training courses.
  • Choice of brand-new tech with personal budget to choose IT accessories & handset of your choice.

Learn more

As a part of Omnicom Precision Marketing Group, our more than 600 consultants across the globe partner with some of the world’s best-known brands in a variety of industries, including clients ranging from FTSE 100 companies to large government departments, delivering strategy and execution leadership to create tangible business results. Credera’s deep business acumen and technical expertise, combined with a deep dedication to build trusted relationships, unlocks extraordinary business performance to our clients. Our mission is to make an extraordinary impact on our clients and our people. More information is available at www.credera.co.uk.  

Tags: Agile Airflow APIs AWS Azure BigQuery Consulting Consulting firm Databricks DataRobot DevOps Engineering GCP GitHub Kafka Kinesis Looker Machine Learning Pandas Power BI Python Redshift SageMaker Snowflake SQL Streaming Tableau TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Startup environment Team events Travel

Region: Europe
Country: United Kingdom
Job stats:  1  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.