2 Data & Machine Learning Engineers ( 1 Senior & 1 Mid-level/Junior)

emagine is currently looking for two Data & Machine Learning Engineers (Senior and Mid-level) for a global technology client based in Stockholm.

Start Date: 2026-09-01

End Date: 2027-08-31 (extension possible)

Location: Stockholm, Sweden (Hybrid)

Assignment Overview

Our client is undertaking a strategic initiative to strengthen its data-driven decision-making capabilities within a large-scale, high-volume messaging and communications environment. The consultants will play a key role in building and enhancing data pipelines, real-time analytics capabilities, machine learning foundations, and intelligent routing and pricing systems.

The assignment will be delivered within a modern cloud-native architecture built around Go microservices, Kafka-based event streaming, ClickHouse data platforms, Kubernetes, and machine learning-enabled services.

We are looking for one Senior Data & Machine Learning Engineer and one Mid-Level Data & Machine Learning Engineer.

Must-Have Requirements (non-negotiable)

Technical Skills

Strong Data Engineering background with software development experience, preferably in Go (Golang)Experience working with databases, ideally ClickHouseExperience with Kubernetes and application deployment

Personal Qualities

Strong communication and collaboration skillsProactive problem solverCurious and eager to learnTeam-oriented and supportive of colleagues

Highly Meritorious

Experience within telecommunications, messaging, routing, billing, or CPaaS environmentsExperience with Machine Learning Engineering and production deployment of ML models

Senior Data & Machine Learning Engineer

About The Assignment

We are seeking an experienced Senior Data & Machine Learning Engineer to design and develop intelligent data products and predictive capabilities supporting mission-critical messaging services.

You will work within a large-scale data ecosystem and be responsible for creating data foundations, scoring mechanisms, forecasting models, anomaly detection capabilities, and machine learning pipelines that enable automation and business optimization.

This role requires a combination of strong software engineering, data engineering, and machine learning expertise.

Pricing Intelligence & Forecasting

Develop simulation models and forecasting capabilitiesBuild cost and margin prediction modelsDeliver pricing recommendations based on authoritative business data

Dynamic Route Scoring

Create scoring models using real-time and historical datasetsContinuously evaluate route quality and performance metricsSupport automated routing decision engines

Real-Time Anomaly Detection

Build highly responsive detection modelsIdentify service degradations, network anomalies, and operational issues in near real timeEnable automated reactions and alerts

Data Architecture

Design scalable and AI-ready ClickHouse data modelsEnsure data consistency, modularity, and quality standardsSupport future analytics and machine learning initiatives

Production Engineering

Develop and integrate solutions within a Go-based microservices ecosystemDeploy and maintain machine learning inference servicesEnsure high performance and low-latency operation in streaming environments

Required Experience

Programming

Strong experience with Go (Golang)Strong experience with Python

Data & Infrastructure

ClickHouse or similar analytical databasesApache KafkaProtobufRedisKubernetesHelmGrafanaPrometheus

Machine Learning

Dynamic scoring modelsForecasting and simulation modelsReal-time anomaly detectionStreaming inference architecturesMLOps and production deploymentFeature engineering and data preparation

Preferred Experience

TelecommunicationsMessaging platformsRouting optimizationBilling systemsPricing engines

Mid-Level Data & Machine Learning Engineer

About The Assignment

We are looking for an ambitious Data & Machine Learning Engineer who will help build and maintain the data infrastructure powering advanced analytics and machine learning initiatives.

Working closely with senior technical specialists, you will focus on developing data ingestion pipelines, preparing high-quality datasets, building microservices, and supporting production machine learning workflows.

This is an excellent opportunity for someone who wants to deepen their expertise in data engineering, distributed systems, and MLOps.

Data Pipeline Development

Build and maintain Go-based Kafka ingestion pipelinesProcess both real-time and aggregated data streamsEnsure scalability, reliability, and data quality

Data Preparation & Structuring

Clean, normalize, and structure dataCreate AI-ready datasets and ClickHouse tablesSupport downstream analytics and machine learning workloads

Microservices Development

Develop APIs and supporting backend servicesExpose aggregated metrics and data products internallyContribute to platform scalability and reliability

ML Platform Support

Prepare data features for machine learning workflowsSupport deployment and monitoring of ML solutionsCollaborate closely with senior engineers and architects

Monitoring & Reliability

Implement observability and monitoring solutionsUtilize Prometheus and GrafanaEnsure stable and reliable production systems

Required Experience

Programming

Good proficiency in Go (Golang)Experience with Python

Data & Infrastructure

SQLAnalytical databases (ClickHouse experience is highly desirable)Kafka or similar messaging systemsProtobufDockerKubernetesGrafanaPrometheus

Desired Mindset

Strong interest in data engineering and machine learningUnderstanding of feature engineering and data preparationDesire to learn MLOps and production ML deploymentsStrong analytical and problem-solving skills

Preferred Experience

Telecommunications dataRouting systemsBilling recordsMessaging platforms