At a Glance
- Tasks: Transform raw data into actionable insights and drive innovation in a collaborative team.
- Company: Join a diverse team of over 4,000 experts creating opportunities through technology and innovation.
- Benefits: Enjoy flexible working, private medical insurance, and 25 days annual leave plus more perks.
- Why this job: Be part of a culture that values curiosity, inclusivity, and impactful digital solutions.
- Qualifications: Experience with AWS cloud technologies and data engineering practices is essential.
- Other info: Hybrid working model with at least two office days per week.
The predicted salary is between 36000 - 60000 £ per year.
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 technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists.
Do you have what it takes to turn raw data into actionable insights and drive innovation? As a team, we transform our client’s businesses using a combination of strategic thinking, customer-centric service design, and agile engineering practices. We do this at internet scale – driving innovation, and enriching people’s lives. Our skills and talent enable PA’s purpose of creating a positive human future in a technology-driven world. As part of our Digital team, you’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner.
You will have:
- Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
- Performed tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
- Worked closely with other engineering teams to integrate data engineering components into production systems.
- Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
- Ability to travel to client site, where required, will be a consideration.
- Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
- Knowledge of data mining, machine learning, natural language processing is an advantage.
- Enjoy working within cross-functional Agile teams and familiarity with Scrum ceremonies.
- Comfortable designing and building for the AWS cloud and experience in architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies.
Qualifications:
AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. There are a variety of different tools, cloud technologies and approaches and while we have a preference for AWS tooling experience, open-source equivalence will be suitable. As a Data Engineer, you’ll have experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern AWS best practices. Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing.
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.
Benefits:
- Private medical insurance
- Travel allowance
- 25 days annual leave with the opportunity to buy 5 additional days
- Company pension scheme
- Annual performance-based bonus
- Life and Income protection insurance
- Tax efficient benefits (cycle to work, give as you earn)
- Additional optional benefits (Dental, critical illness, spouse/partner life assurance)
- Flexible working - guided by client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance.
PA is committed to building an inclusive and supportive culture where diversity thrives, and all of our people can excel. We believe that greater diversity stimulates innovation, enabling us to fulfil our purpose of ‘Bringing Ingenuity to Life’, supporting the growth of our people, and delivering more enduring results for our clients. We only recruit, promote and reward our people based on their contribution, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age or marital status. We welcome international applications, but we are unable to offer sponsorship for work permits, so you will need to have the full right to live and work in the UK. Unfortunately, your application will be automatically rejected if you do not have these rights.
Data Engineer employer: PA Consulting
Contact Detail:
PA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with AWS services like EMR, Glue, and RedShift. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Engage with the data engineering community online. Join forums or LinkedIn groups where professionals discuss AWS and data engineering topics. This can provide insights and connections that may benefit your application.
✨Tip Number 3
Showcase your experience with Agile methodologies. Be prepared to discuss how you've worked in cross-functional teams and contributed to Scrum ceremonies, as this aligns with the company’s collaborative culture.
✨Tip Number 4
Prepare to discuss real-world examples of how you've transformed raw data into actionable insights. Highlight specific projects where your data engineering skills made a significant impact on business outcomes.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS technologies. Include specific projects where you've designed and deployed data pipelines, and mention any programming languages or tools you are proficient in, such as Java, Python, or SQL.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's mission of creating a positive human future. Mention your experience with big data architectures and your ability to work within Agile teams, as these are key aspects of the role.
Showcase Relevant Projects: If you have worked on significant projects involving data cleaning, wrangling, or machine learning, be sure to include these in your application. Describe your role in these projects and the impact they had, especially if they involved AWS services like EMR or RedShift.
Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork and communication. The company values collaboration within cross-functional teams, so providing examples of how you've successfully worked with others will strengthen your application.
How to prepare for a job interview at PA Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines and the specific technologies mentioned in the job description, such as Java, Python, and AWS. Bring examples of past projects where you successfully designed and deployed data solutions.
✨Understand the Company’s Values
Research the company’s mission and values, particularly their focus on innovation and creating a positive human future. Be ready to explain how your personal values align with theirs and how you can contribute to their goals.
✨Demonstrate Agile Experience
Since the role involves working within cross-functional Agile teams, be prepared to discuss your familiarity with Scrum ceremonies and how you've applied Agile methodologies in previous projects. Share specific examples of how this approach has benefited your work.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your ability to handle large datasets and integrate various data sources. Practice articulating your thought process clearly, as interviewers will be interested in how you approach challenges.