Lediga jobb Cuelebre AB i Sollentuna

Are you a dynamic, self-driven individual passionate about sales and business development?
Cuelebre AB is looking for an ambitious Swedish-speaking Junior Sales Intern to join our team. This is an exciting opportunity to gain hands-on experience in sales hunting, customer engagement, and market expansion in the Data & AI domain.
What You’ll Do:
Prospect & Hunt: Identify new business opportunities, engage with potential clients, and drive lead generation.
Sales Outreach: Initiate conversations with prospective customers through calls, emails, and LinkedIn.
Market Research: Understand customer pain points and position our solutions effectively.
Pipeline Management: Assist in tracking and managing leads in the CRM system.
Collaborate with Teams: Work closely with senior sales executives and marketing to refine sales strategies.

What We’re Looking For:
? Fluent Swedish Speaker – Strong communication skills in Swedish & English.
? Sales-Driven Mindset – Passionate about business development and sales hunting.
? Dynamic & Self-Starter – Able to take initiative and work independently.
? Strong Interpersonal Skills – Confident in engaging with potential clients and building relationships.
What’s in it for You?
? Earn Full-Time Opportunity & Commission: If you successfully close two deals during your internship, you’ll be eligible for a full-time hire with commission-based earnings.
? Gain real-world sales experience in a growing tech company.
? Work with an experienced international team in the Data & AI domain.
? Be part of a fast-paced and growth-driven environment. Visa mindre

What You Will Do:-
Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure platform.
Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
Use best practices in continuous integration and delivery.
Sharing technical knowledge with other members of the Data Engineering Team.
Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.
Required Technical and Professional Expertise:
Professional programming experience and hands-on experience in building modern data platforms/pipelines.
Programming languages: Scala, Java, Python is a plus
Frameworks: Spark, Hadoop, Hive, Kafka
Databases: Azure Synapse, No, Strong in Relational databases
Data pipelining: AZURE Data factory, ELT
Scheduling: Airflow
Cloud: Azure Stack, Azure DevOps, Azure Databricks
Experience Kubernetes, Docker, and Virtualization
DevOps: experience in Agile, CI/CD
Previous experience gained in mid-size/large, international companies.
Databricks Associate certification is mandatory. Visa mindre

Technologies you will get to work with: -
1.Azure Data-bricks
2.Azure Data factory
3.Azure DevOps
4.Spark with Python & Scala and Airflow scheduling.
What You will Do:-
Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure platform.
Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
Use best practices in continuous integration and delivery.
Sharing technical knowledge with other members of the Data Engineering Team.
Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.
Required Technical and Professional Expertise:
Professional programming experience and hands-on experience in building modern data platforms/pipelines.
Programming languages: Scala, Java, Python is plus
Frameworks: Spark, Hadoop, Hive, Kafka
Databases: Azure Synapse, No, Strong in Relational databases
Data pipelining: AZURE Data factory, ELT
Scheduling: Airflow
Cloud: Azure Stack, Azure DevOps , Azure Databricks
Experience Kubernetes, Docker, and Virtualisation
DevOps: experience in Agile, CI/CD
Previous experience gained in mid-size/large, international companies Visa mindre

Who we are :


Cuelebre is a technology consulting and services company. We help organisations build innovative products and solutions using big data and analytics on the cloud and on-premise.


We provide the best-in-class solutions and services that leverage big data and continually exceed client expectations. Our deep vertical knowledge combined with expertise on multiple, enterprise-grade big data platforms helps support purpose-built solutions to meet our client’s business needs.


Feel free to check us out at http://www.cuelebre.se/


We are looking for an experienced (3+ year) Data Engineer to join our team.


Someone who can help our client to build scalable, reliable and secure Data analytic solutions.


Technologies you’ll get to work with :-


Some of the technologies and languages we use are Kafka, Hadoop, Spark , Apache Airflow, Qlik Sense, Java, Scala, Hbase Jenkins.


Requirements:


• Minimum of Bachelor’s Degree, preferred in related fields (ex: Computer Science, Analytics or Statistics).
• 3 to 4 years of Data engineering and software development experience is required
• Knowledge of at least one programming language (Scala , python or Java) .
• Good knowledge of cloud technology Azure will be plus.
• Quick learning and adept-able capabilities.
• Experience of designing and developing Big Data pipelines, and handling vast amount of data on distributed system.
• Quick learning and adept-able capabilities.
• Ability to update and write code required to extract data from source systems.
• Experience with the Agile/Scrum methodology.
• Excellent interpersonal, team cooperation and communication skills.


What You will Do :-


* Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure and Cloudera platform.
* Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
* Use best practices in continuous integration and delivery.
* Sharing technical knowledge with other members of the Data Engineering Team.
* Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
* You will get to work with massive data sets and learn to apply the latest big data technologies on a leading edge platform. Visa mindre