drjobs Lead Data Engineer

Lead Data Engineer

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

 

Are you up for the challenge of creating seamless user experiences from every angle

Our teams are trusted to deliver and given the space to be awesome. Were an inclusive community for the curious generous pragmatic and committed digital practitioner. Would you like to join this vibrant community of experts Do you enjoy developing your team members especially technically but also on a personal level If the answer is yes we are looking for you!

Flexible working We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.

 

Your Role as a Lead Data Engineer

In this role you will advise clients on designing building and evaluating data platforms and transformation processesspanning both batch and streaming solutions. Youll collaborate closely with data engineers data scientists project managers clients and other stakeholders to deliver impactful outcomes. Leveraging modern design principles you will ensure data pipelines are optimised for efficiency and reliability.

Beyond clientfacing projects youll play a key role in elevating our data engineering practice. This includes mentoring and coaching colleagues driving innovation and leading research and development initiatives. At PA were deeply committed to continuous learning with dedicated working hours set aside for personal training and development.

Empower clients to maximise the value of their data by designing implementing and refining data platforms and transformation processes.

Our diverse team of data engineers and data scientists are passionate about technology and analytics. We go beyond applying algorithms to datawe create scalable realworld solutions. Projects typically last 1 to 6 months and we maintain a pragmatic flexible approach leveraging the platforms tools and methods best suited to each challenge. We perform big data analyses for clients in a variety of sectors like public sector consumer goods and manufacturing finance and banking health and life science transport & energy & utilities.

At PA Consulting our Data Science Capability combines deep industry expertise with indigenous cuttingedge data capabilities to deliver transformative insights for our clients. We collaborate closely with organisations to help them become resilient futureready and powered by data. We address our clients most complex analytical challenges and pioneer innovative technologies that have the potential to reshape industries and create lasting impact.


Qualifications :

  • Proven experience in designing endtoend data architectures with a strong ability to understand the clients data landscape business requirements and translate them into scalable and efficient solutions.
  • Experience designing cloud architectures including PlatformasaService components serverless solutions and containers.
  • Strong experience designing and deploying productiongrade data pipelines (batch and streaming) within a big data architecture using tools like Python Scala Spark and SQL.
  • Expertise in either AWS or Azure cloud platforms with handson experience in key services such as:
    • AWS: EMR Glue Redshift Kinesis Lambda DynamoDB
    • Azure: Data Factory Synapse Databricks Event Hubs Logic Apps Cosmos DB
  • Understanding of best practices for endtoend software development lifecycles in a cloud environment with the ability to adapt to other platforms.
  • Handson experience processing and integrating structured and unstructured data from multiple sources through ingestion transformation and curation functions.
  • Ability to write scripts extract data using APIs and create complex SQL queries.
  • Familiarity with data cleaning wrangling visualisation and reporting using effective tools and frameworks.
  • Knowledge of data mining machine learning natural language processing is an advantage.
  • Ability to travel to client site where required will be a consideration.
  • You enjoy working within crossfunctional Agile teams and you are familiar with Scrum ceremonies.

 

We know the skillgap and somewhat need to tick every box can get in the way of meeting brilliant candidates so please dont hesitate to apply wed love to hear from you.

Apply today by completing our online application

#LIIC2

#Hybrid


Additional Information :

Life At PA encompasses our peoples experience at PA. Its 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 wellbeing of our people. Check out some of our extensive benefits:

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.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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