
Artefact · 17th Floor
SENIOR CONSULTANT Hybrid working pattern WHO WE ARE Artefact is a new generation of a data service provider, specialising in data consulting and data-driv...
Hybrid working pattern
Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing,
dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re
enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific
needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built
upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have over 2000 employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of
company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the
finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra
value to every client.
Key responsibilities
As a Senior Consultant, you are a team leader - you will receive the coaching of the most senior people at Artefact and you will
be in constant contact with our clients to drive success. You will take the responsibility and ownership of the quality and
timeliness of the project delivery while contributing to the vision and organising the next steps.
To succeed in this role, the Senior Consultant needs to be a true problem-solver and project manager, relying on the expertise of
others (data scientists, data engineers, or their peers and clients) and getting a very detailed understanding of what great looks
like for their clients. They will be able to adapt to a vast diversity of missions while acquiring a fine knowledge of the complex
organisations to make data go beyond technology and drive real business impact. Leveraging the right and smart data to improve the
business outcome for our clients is the DNA of a Senior Consultant at Artefact.
team members
ground
industry / topic expertise project after project.
What we are looking for
actual work over nice talks. We value people over experience.
customer relationships is a must, you will also have a strong appetite to grow in the world of Data.
Why you should join us
professionals worldwide that will always be willing to help
industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro.
you’ll be coached and mentored on your technical, consulting, and interpersonal skills on a regular basis.
won’t give up until we make a huge dent in this industry!
SENIOR DATA ENGINEER WHO WE ARE Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key Responsibilities * Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. * Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. * Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. * Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. * Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables. * Develop and enforce best practices in data governance, security, and compliance within the organisation. * Optimise data retrieval and develop dashboards and reports for business teams. * Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function. Qualifications * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. * 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. * Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. * Demonstrated experience with Infrastructure as Code tooling such as Terraform * Solid understanding of CI/CD principles and DevOps/DevSecOps practices. * Proven leadership skills and experience managing data engineering teams. * Excellent problem-solving skills and the ability to work with ambiguity. * Proficient in leveraging AI-assisted workflows to optimise task efficiency. * Strong communication and interpersonal skills. * Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: * Certifications in Azure, AWS, or GCP. * Certifications in Databricks, Snowflake or similar technologies. * Experience in the leading large scale data engineering projects. Working Conditions * Hybrid work arrangement: two-three days per week working from the office
WHO WE ARE * Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. * Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. * Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. WHAT YOU WILL BE DOING As a Junior Software Engineer in our London office, your role will encompass: * working on engineering projects together with senior team members * training and certification to enhance your skills in software engineering, data science, and data architecture. QUALIFICATIONS NECESSARY EDUCATION AND EXPERIENCE * Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. * Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. * Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. * Data Skills: Experience with SQL for querying relational databases. * Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. * Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. * Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. DESIRABLE EXPERIENCE * Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). * Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. * Advanced Education: A Master's degree or PhD in a relevant field is a strong plus. Hybrid working pattern
WHO WE ARE * Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. * Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. * Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. WHAT YOU WILL BE DOING As a Junior Software Engineer in our London office, your role will encompass: * working on engineering projects together with senior team members * training and certification to enhance your skills in software engineering, data science, and data architecture. QUALIFICATIONS NECESSARY EDUCATION AND EXPERIENCE * Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. * Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. * Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. * Data Skills: Experience with SQL for querying relational databases. * Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. * Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. * Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. DESIRABLE EXPERIENCE * Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). * Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. * Advanced Education: A Master's degree or PhD in a relevant field is a strong plus. Hybrid working pattern