Data Engineer
London, United Kingdom
PA Consulting
An innovation and transformation consultancy, we believe in the power of ingenuity to build a positive human future. Our clients adapt and transform, and…Company Description
About us
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists.
We operate globally from offices across the UK, US, Netherlands and Nordics.
PA. Bringing Ingenuity to Life.
Job Description
Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance.
Are you interested in collaborating with a high-achieving team that creates innovative solutions?
We're in search of an exceptional Data Engineer to join our Engineering Team. As a member of our dynamic and forward-thinking group, you'll have the chance to actively participate in a broad spectrum of digital projects, spanning cultural awareness, business continuity, and beyond.
Qualifications
Due to the nature of client work for this role, you will need to be a sole British national, eligible to work on secure client sites.
You will ideally have;
- Experience using AWS and Azure cloud technologies for tasks like ETL pipeline development, data warehousing, data lake creation, and data movement.
- Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks.
- A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing.
- Proficiency in the design and deployment of production data pipelines, involving languages like Java, Python, Scala, Spark, and SQL.
You should also have some, if not all, of the following;
- Capability in scripting, data extraction via APIs, and the composition of SQL queries.
- Practical experience in integrating data engineering components into production systems, along with expertise in data cleaning, data wrangling, data visualisation, and reporting.
- Proficiency in handling substantial volumes of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes.
- Knowledge of data mining, machine learning, and natural language processing is considered an advantage.
- Familiarity with Agile methodologies and participation in Scrum ceremonies.
- Competence in the design and construction of solutions tailored for the AWS and Azure cloud environments, which may involve expertise in Platform-as-a-Service components, serverless architecture, and container technologies.
We know the skill-gap and ‘somewhat need to tick every box’ can get in the way of meeting brilliant candidates, so please don’t hesitate to apply – we’d love to hear from you.
Apply today by completing our online application!
Additional Information
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life.
Find out more about Life at PA here.
We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
- Generous company pension scheme
- Opportunity to get involved with community and charity-based initiatives
- Annual performance-based bonus
- PA share ownership
- Tax efficient benefits (cycle to work, give as you earn)
We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure Databricks Data Mining Data pipelines Data Warehousing Engineering ETL Java Kinesis Lambda Machine Learning NLP Open Source Pipelines Python Redshift Scala Scrum Security Spark SQL Unstructured data
Perks/benefits: Career development Flex hours Health care Parental leave Salary bonus Startup environment
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