Software Development Engineer III - Data Engineering (Forecasting)

Company Description

As one of the world’s largest retailers and the largest private employer in the United Kingdom, Tesco serves millions of customers a week in our stores and online.

In Europe we operate in Hungary, Poland, Czech Republic, and Slovakia, offering great value to our customers every day. Our Operations in Hungary have been serving shoppers since 1995.

To standardize processes, reduce the cost to serve, empower agility in the business and motivate colleagues to achieve even more for our customers, we have set up a dedicated team called Tesco Business Services across our markets. In 2004 we established our first center in Bengaluru, India.

Based in our Krakow office this multi-functional and specialist team will drive operational excellence of services, improve the scalability of our systems and processes around the globe and create industry-leading capabilities.

Job Description

About the Tesco Technology - Forecasting team

In Demand forecasting, we build products that power the engine of the Supply Chain that ensures customers get the products they need when they visit a Tesco Store or shop through other channels. We impact product availability through advanced forecasting and right ordering. It's challenging since it involves minimizing waste and maintaining optimal stock holding. This helps keep our operational costs in control and benefits the bottom line. The more we save, the more we can pass on to our customers regarding the right price. It’s fun since we are building better capabilities on newer platforms.

This includes a lot of learning as we are converting our forecasting intelligence into big data platform algorithms. We process a large volume of history, respond to recent trends, promotional events, and convert demands into the right orders for supplier and store. The nature of our products lends themselves to real-time data inputs, machine learning and applied statistics, confidently allowing us to say it’s a magnificent problem space to work in and help solve. We take responsibility for the software throughout its entire lifecycle. We practice continuous integration and delivery and support our code up to production and beyond.

Responsibilities:

While specific responsibilities will vary depending on the changing needs of the Tesco business, the following gives an overview of the role’s essential responsibilities and measures:

• Deliver consistently against the product and engineering backlogs.
• Support your and your team’s code all the way to production. Lead and promote the use of Monitoring & Alerting tooling ( Splunk ) in order to “do production right”.
• Follow the processes, designs, and systems your teams have agreed to.
• Contribute to the definition of features for services owned by your team.
• Constantly improve yourself and your team by suggesting and helping to implement new Engineering processes and practices.
• Focus on the customer. You find the right balance between outcome delivery and technical excellence.
• Be a technical expert in one or more technical areas of your team, someone the rest of the team look to for engineering advice or guidance.
• Lead team architecture and design discussions. Conduct technical discussions with stakeholders beyond your team
• Set coding standards, testing standards, and operational best practices
• Mentor less experienced developers
• Effectively communicate your and your team’s progress to your team members, your Manager, and wider Tesco colleagues.

Qualifications

Skills:

• Bigdata Hadoop as your main area of expertise
• Spark, Spark SQL
•  or Scala
• Hive (HiveLLAP)
• Hbase, Phoenix, and other SQL and NoSQL
• Hands-on experience with data ingestion and transformation
• Understanding of how to efficiently structure data on HDFS (columnar stores, compression, partitions)
• Good experience with productionizing algorithms
• Design and development of Batch and Streaming Framework knowledge of when to use which
• Ability to design Streaming Applications
• Ability to convert a business problem into an algorithmic formulation (incl. break down into multiple parts if necessary)
• Basic understanding of ML Techniques
• Capability to build data platform features – BackTesting, disaster recovery, Querying engine for analysts, etc.

Experience:

• 6+ years of commercial software development experience and 4+ years in the big data platform
• Problem-solving, analysis, and computational skills. You are comfortable designing systems and reasoning about them. When tackling problems, you take a thorough and logical approach to solving them and you retain ownership until resolution.
• Experience in designing and developing systems for high availability and scalability
• Experience working with data, algorithms, and setting up robust data platform capabilities
• Depth of professional software engineering experience and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience of running and supporting software in production

Additional Information

Salary:

UoP 22 000 - 33 000 gross/month

B2B 26 000 - 40 000 net/month

Hybrid working
We’ve recently shifted to hybrid working. We enjoy working from home, but we also value connecting, collaborating, and innovating with our colleagues in person. We meet in our office in Kraków for 2 days a week.

Benefits

Tesco is a diverse and exciting employer, committed to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with:

• Permanent contract from the start – as a sign of our trust in your abilities
• Up to 20% annual salary bonus – for employment contract colleagues only – based on both individual and business performance
• Increased income costs (KUP)
• MacBook as your work tool
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Sports activities with a personal trainer
• Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily.
• Referral Bonus
• Relocation Assistance

If that sounds enticing, then we'd love to hear from you.

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