At a Glance
- Tasks: Design and implement scalable data solutions on AWS, optimising data architectures.
- Company: Join Slalom, a purpose-led global consulting company with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Make a real impact by solving client challenges with cutting-edge technology.
- Qualifications: 6-8 years in AWS data engineering and strong programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
AWS Data Engineer – Senior Consultant London or Manchester | Hybrid
About us - Slalom
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In eight countries and 53 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact.
Slalom's Data Capability
At Slalom, we believe that through our trusted relationships with our clients, we can create modern data solutions that drive results and improve the world. Interested in Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the Engineering and AI space? We can offer you this.
AWS Data Engineer
As a Senior Consultant AWS Data Engineer at Slalom, you are a skilled engineer responsible for delivering high-quality data solutions that generate measurable business value. You demonstrate deep technical expertise in AWS data services, combined with a keen understanding of client needs and the ability to collaborate productively within teams. Additionally, you play a key role in advancing our Data & Technology Capability.
What will you do?
- Design, build, and implement scalable data engineering solutions on AWS, including data pipelines, ETL / ELT processes, and data integration frameworks.
- Develop and optimize data architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, and related technologies.
- Ensure solutions follow AWS best practices for security, performance, cost optimization, and operational excellence.
- Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical implementations.
- Mentor junior team members and contribute to building technical capability within project teams.
Client Advisory & Relationship Building
- Act as a trusted advisor to client stakeholders, understanding their business challenges and recommending appropriate data solutions.
- Communicate technical concepts clearly to both technical and non-technical audiences.
- Contribute to client workshops, requirements gathering sessions, and solution design activities.
Practice Development & Knowledge Sharing
- Stay current with AWS data engineering trends, services, and best practices.
- Contribute to the development of Slalom's data engineering accelerators, frameworks, and methodologies.
- Share knowledge through internal presentations, documentation, and mentoring.
- Participate in Slalom's learning culture and pursue continuous professional development.
What you’ll bring
- 6-8 years of experience in data engineering focused on AWS data platforms and services.
- Strong hands-on experience with AWS data services including S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, and related technologies.
- Proficiency in programming languages such as Python and SQL for data processing and transformation.
- Experience designing and implementing ETL / ELT pipelines, data integration patterns, and workflow orchestration.
- Understanding of data modelling concepts (dimensional modelling, data vault, normalized schemas) and when to apply them.
- Knowledge of data governance, data quality, and metadata management principles.
- Experience with Infrastructure as Code (CloudFormation, Terraform, CDK) and CI / CD practices.
- Strong problem-solving skills and ability to work effectively in fast-paced consulting environments.
- Excellent communication and interpersonal skills, with demonstrated ability to work collaboratively with diverse teams.
- Client-facing consulting experience with ability to build rapport and credibility with stakeholders.
- AWS certifications such as AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect – Associate, or AWS Certified Developer.
- Experience with streaming data architectures and real-time analytics.
- Familiarity with data platforms such as Snowflake, Databricks is a bonus.
If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.
AWS Data Engineer | Senior Consultant in Manchester employer: Slalom
As a leading employer in the consulting sector, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our UK&I Business Strategy team offers exceptional growth opportunities through diverse projects that challenge your strategic thinking and analytical skills, while our commitment to employee development ensures you are equipped to navigate the evolving landscape of business and technology. Join us to make a meaningful impact and thrive in an environment that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer | Senior Consultant in Manchester
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Slalom.
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We think you need these skills to ace AWS Data Engineer | Senior Consultant in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Slalom, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Slalom. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Slalom
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Slalom!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
