Data Engineer - Associate

Data Engineer - Associate

Full-Time 60750 - 74250 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and optimise data pipelines while collaborating with senior engineers.
  • Company: Join AlixPartners, a leader in solving complex challenges with a focus on inclusivity.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Be part of a diverse team committed to authenticity and equity.
  • Why this job: Make a real impact by working with data that drives business decisions.
  • Qualifications: Experience in SQL and familiarity with data engineering tools like Databricks.

The predicted salary is between 60750 - 74250 £ per year.

Data Engineer – Associate

Join to apply for the Data Engineer – Associate role at Alix Partners.

At Alix Partners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve.

By understanding, respecting, and honoring the needs of our employees, clients, and communities, Alix Partners actively promotes an inclusive environment.

We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.

We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone. www. alixpartners. com

Alix Partners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration.

Our hybrid model combines a mix of in-person at an Alix Partners office on Tuesday, Wednesday, and Thursday, with remote working options for Monday and Friday.

  • What You’ll Do
  • Assist in building, maintaining, and optimising data pipelines to support analytics and reporting.
  • Work with senior data engineers to ingest, transform, and validate data from multiple sources.
  • Support the migration and integration of datasets across cloud and on-premises environments.
  • Monitor data workflows to ensure accuracy, timeliness, and reliability.
  • Perform basic data cleaning, quality checks, and troubleshooting of pipeline issues.
  • Collaborate with analysts, developers, and business stakeholders to understand data needs.
  • Learn and apply best practices in data engineering, including security, governance, and documentation.
  • Administration of Databricks Spark clusters and SQL Warehouse.
  • Participate in code reviews and contribute to shared engineering standards.
  • Maintain the integrity of databases and applications (as directed) upon which the business units rely for uninterrupted business operations.
  • Run and monitor database and application performance queries; design and implement testing routines to identify and resolve (de‑bug) conflicts and potential operating malfunctions, using the Enterprise monitoring solutions and other utilities.
  • Adhere to and perform against internal SLAs to the business.
  • Participate in the monthly maintenance cycle as well as the on‑call rotation.
  • Effectively communicate within the database team to ensure all team members are adequately informed of changes, detected issues, and other items necessary to maintain high levels of user satisfaction.
  • Troubleshoot and resolve malfunctions with databases, applications, and related infrastructure; elevate to other technology support resources as needed.
  • Schedule, communicate, perform and monitor both regular and ad‑hoc database maintenance activities in accordance with defined policies and procedures.
  • Administer database systems security and assign appropriate access privileges to end‑users; monitor security issues and report potential problems and concerns.
  • Additional responsibilities as identified. This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.
  • What You’ll Need
  • Bachelor’s degree preferred.
  • Minimum one (1) year of full‑time commercial experience; SQL DBA/Data Engineer preferred*
  • Familiar with Data Engineering applications such as Databricks and Azure Data Factory.
  • Basic Py Spark and/or Python programming knowledge.
  • Familiar with ETL processes and techniques.
  • Administration of Microsoft SQL Server 2017/2019/2022 preferred.
  • Basic T‑SQL programming preferred.
  • Database performance monitoring, tuning and optimization preferred.
  • Experience in Cloud Services (e. g., Azure, Amazon).
  • Experience in a 24x7 service delivery model supporting mission‑critical business operations.
  • Excellent written and verbal communication skills in English.
  • Willingness to work outside of normal UK business hours, and as unique projects/needs arise.
  • Must become familiar with, and promote, and abide by Alix Partners’ Core Values as defined by the Alix Partners Code of Conduct and foster an inclusive environment with people at all levels of an organisation.
  • The commercial experience is intended as a guide only and does not preclude applications from those with more or less experience.

Alix Partners is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to, among other things, race, colour, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

Alix Partners is a proud Silver award‑winning Veteran Friendly Employer.

  • #LI‑Hybrid
  • Seniority level
  • Associate
  • Employment type
  • Full‑time
  • Job function
  • Information Technology
  • Industries
  • Business Consulting and Services
  • #J-18808-Ljbffr

Data Engineer - Associate employer: AlixPartners

At AlixPartners, we pride ourselves on being an exceptional employer, offering a dynamic work culture that values diversity and inclusivity. Our hybrid work model provides the flexibility needed for a healthy work-life balance, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in London, you will be part of a team that tackles complex challenges head-on, making a meaningful impact on clients and communities alike.

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Contact Details:

AlixPartners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer - Associate

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AlixPartners!

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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 AlixPartners.

✨Apply Directly through Our Website

When you find a suitable opening like Data Engineer - Associate at AlixPartners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer - Associate

Python
Data Engineering
Problem-Solving Skills
SQL
Communication Skills
ETL/ELT Processes
Automation

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 AlixPartners, 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 AlixPartners. 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 AlixPartners

✨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 AlixPartners!

✨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.