Data Engineer at Intellias
You seem a little late
Most likely, this vacancy is closed because it has already made someone's Mondays happy.
But don't worry - we have something to offer you!
See other open features on the site
To design, build and deploy high quality solutions across client products, platforms, and applications, ensuring they meet data engineering and QA standards.
To promote engineering best practices and being point of expertise for all data related projects and ensuring standards and performance are met across the data engineering team.
As a core member of our DB team, you will help in the implementation of our data strategy and transformation roadmap.
What project we have for you
Based in London, our customer is a global leading law research, ranking and directories business, ranking ‘elite’ (top 5%) law firms and lawyers in over 200 jurisdictions across the world. The company is the ‘Michelin star’ of the legal world, and law firms invest considerable time trying to be ranked. The customer has 350 staff based in London, of which 250 are researchers, who are experts in given jurisdictions and practices areas. The company is around 30 years old, in 2018 it was purchased by a private equity house with a view to modernizing and growing the business substantially. And that foresees digital transformation of all the corporate processes and flows, which will be our main goal for both in short and in long term perspective.
Customer’s strategy is to transform from being a print-based publishing business, with advertising as prime revenue, to an online subscription business with data insight, ranking directories and differentiated content at its core. This means moving from a largely anonymous audience to one that is known, and thus building strategic customer platforms and products of the future.
What you will do
- Mentoring a team of developers to effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain.
- Coordinate engineering resources ensuring adherence to standards and effective delivery.
- Contribute to the continuous improvement of the team.
- Contribute to the team’s ability to make and deliver on their commitments.
- Innovate and experiment with technology to deliver real business benefits.
- Regularly launch products and services based on your work and be an integral part of making these a success.
- Guide, influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options.
- Assist with the recruitment of the engineering team.
- Guide, instruct, motivate and manage assigned staff on projects.
- Promote an innovative thinking process and encourage it in others.
- Plan and undertake technical work on projects.
- Led the development of technical specifications and architecture around Data Lake.
- Review and refactor code.
- Deploy code in a trackable and safe manner.
- Document development and operational procedures.
- Working within the agile framework.
What you need for this
- 5+ years of professional Data experience.
- 3+ years of experience with DataBricks and PySpark.
- Excellent understanding of SQL and CosmosDB databases.
- Experience with massive JSON files.
- Write clean and testable code using SQL and Python scripting languages.
- Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes.
- Knowledge of Azure Cloud Services.
- Good understanding T-SQL programming.
- Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse.
- Good knowledge of Data Governance, Data Catalog, Master Data Management.
- Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/ MLFlow as well as deployment of models using Azure Kubernetes Service.
- Excellent oral and written communications skills.
- Highly driven, positive attitude, team player, self-motivated and very flexible.
- Strong analytical skills, attention to detail and excellent problem solving/troubleshooting
- Good time management skills.
- Knowledge of agile methodology.
- Knowledge of GitHub.
- Prioritisation skills to handle fast passed dynamic environment.
- Worked in the media, publishing, research, or a similar consumer focused industry. (Highly Desirable).
What it’s like to work at Intellias
Why this client?
This client listens to our feedback/suggestion and hears it. We have regular communication, good level of trust and respect. We know about the client’s intention to continue the productive collaboration for years.
Why this team?
We are a team of professionals, so applicant will get an opportunity to grow inside the team, share knowledge and get a professional advice. Additionally (and that’s very important) all of the team members are supportive, friendly and open. We work in a culture of trust, respect and transparency.
At Intellias, we are committed to being an equal opportunity employer, fostering equity, diversity, and inclusion. We welcome and celebrate the differences of all qualified applicants. Join Intellias for a career where your unique perspectives are not only valued but crucial to our success.
