Data Engineering Team Lead
Malta
Betsson Group
The Wow
As a Team Lead at Betsson Group, you will lead a team of talented people and take overall responsibility for team performance. As the Team Lead, you will take an active role in driving the delivery of your team and promoting a healthy team spirit and culture. You will also ensure each individual in the team is given the platform to succeed and a high level of support in their career development. Our ethos is that to effectively lead a team, you need to actively participate in its activities, and therefore you will be expected to be a hands-on member of the team.
A taster of what you will be involved with:
- Build a high performing team with the right mix of skills and knowledge through recruitment, coaching, mentoring, feedback, and continuous improvement.
- Direct line management of people in the team, being accountable for their performance, satisfaction and career development planning.
- Drive and facilitate the team’s delivery to production in terms of both time and quality, taking responsibility to ensure the team makes commitments and lives up to expectations.
- Foster a team culture of ownership, collaboration, and passion for delivering quality products.
- Motivate the team to maintain high technical standards, in particular when it comes to ensuring reliability and up time.
- Collaborate with the wider technical leadership in ensuring the team follows architectural direction and for general alignment on ways of working.
- Facilitate discussion, decision making, knowledge sharing, planning and conflict resolution in the team.
- Ensure that team processes and routines are defined, organised, and continuously reviewed and optimised, aligning with other teams as much as possible.
- Take responsibility for resolving or escalating impediments to team performance.
- Serve as the main point of contact for the team, facilitating open communication and co-ordination with other teams as and when required.
- Ensure all administrative tasks related to the team are performed in a timely manner.
- Be an active member of the team, with the expectation that your time would be split 50/50 (on average) between team leadership activities and technical work.
- Assist your line manager in any matters that may be further delegated to you from time to time.
You’re good with
- Have knowledge in Scala;
- Knowledge or familiarity of Distributed Computing like Spark/KStreams/Kafka Connectand Streaming Frameworks such as Kafka;
- Knowledge on Monolithicversus Microserivce Architecture concepts for building large-scale applications;
- Familiar with the Apache suite including Hadoop modules such as HDFS, Yarn, HBase, Hive, Sparkas well as Apache NiFi;
- Familiar with containerization and orchestration technologies such as Docker, Kubernetes;
- Familiar with Time-series or Analytics Databases such as Elasticsearch;
- Experience with Amazon Web Servicesusing services such as S3, EC2, EMR, Redshift;
- Familiar with Data Monitoring and Visualisation tools such as Prometheusand Grafana;
- Familiar with software versioning tools like Git;
- Comfortable working in an Agile environment involving SDLC;
- Have a decent understanding of Data Warehouse and ETL concepts – familiarity with Snowflakeis preferred;
- Have strong analytical and problem-sovling skills;
- Good learning mind-set;
- Can effectively prioritize and handle multiple tasks and projects.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
Check out the Betsson Group Blog to find out what our employees are talking about
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Data warehouse Docker EC2 Elasticsearch Engineering ETL Git Grafana Hadoop HBase HDFS Kafka Kubernetes NiFi Privacy Redshift Scala SDLC Snowflake Spark Streaming
Perks/benefits: Career development Team events
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